wwparcel.html

Introduction
- IMSL C Stat Library
- Organization of the Documentation
- Finding the Right Function
- Naming Conventions
- Getting Started and the imsls.h file
  - Getting Started
  - The imsls.h File
- Error Handling, Underflow, Overflow, and Document Examples
- Memory Allocation for Output Arrays
- Printing Results
- Missing Values
- Passing Data to User-Supplied Functions
- Return Values from User-Supplied Functions
  - Example
- Thread Safe Usage
  - Error Handling
  - Routines that Produce Output
- OpenMP Usage
- Vendor Supplied Libraries Usage
- C++ Usage
- Matrix Storage Modes
Chapter 1 Basic Statistics
- Functions
- Usage Notes
- simple_statistics
- empirical_quantiles
- normal_one_sample
- normal_two_sample
- table_oneway
- table_twoway
- sort_data
- ranks
Chapter 2 Regression
- Functions
- Usage Notes
- regressors_for_glm
- regression
- regression_summary
- regression_prediction
- hypothesis_partial
- hypothesis_scph
- hypothesis_test
- regression_selection
- regression_stepwise
- poly_regression
- poly_prediction
- nonlinear_regression
- nonlinear_optimization
- Lnorm_regression
- pls_regression
Chapter 3 Correlation and Covariance
- Functions
- Usage Notes
- covariances
- partial_covariances
- pooled_covariances
- robust_covariances
Chapter 4 Analysis of Variance and Designed Experiments
- Functions
- Usage Notes
- anova_oneway
- ancovar
- anova_factorial
- anova_nested
- anova_balanced
- crd_factorial
- rcbd_factorial
- latin_square
- lattice
- split_plot
- split_split_plot
- strip_plot
- strip_split_plot
- homogeneity
- multiple_comparisons
- false_discovery_rates
- yates
Chapter 5 Categorical and Discrete Data Analysis
- Functions
- Usage Notes
- contingency_table
- exact_enumeration
- exact_network
- categorical_glm
- logistic_regression
- logistic_reg_predict
Chapter 6 Nonparametric Statistics
- Functions
- Usage Notes
  - Missing Values
  - Tied Observations
- sign_test
- wilcoxon_sign_rank
- noether_cyclical_trend
- cox_stuart_trends_test
- tie_statistics
- wilcoxon_rank_sum
- kruskal_wallis_test
- friedmans_test
- cochran_q_test
- k_trends_test
Chapter 7 Tests of Goodness of Fit
- Functions
- Usage Notes
- chi_squared_test
- shapiro_wilk_normality_test
- lilliefors_normality_test
- chi_squared_normality_test
- kolmogorov_one
- kolmogorov_two
- multivar_normality_test
- ad_normality_test
- cvm_normality_test
- randomness_test
Chapter 8 Time Series and Forecasting
- Functions
- Usage Notes
  - Model Construction and Evaluation Utilties
  - ARIMA Models
  - ARIMA Model (Autoregressive Integrated Moving Average)
  - Regression in Autoregressive Integrated Moving Average
  - Automatic ARIMA Selection and Fitting Utilities
  - Exponential Smoothing Methods
  - Garch Models
  - State-Space Models
- arma
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Method of Moments Estimation
  - Least-squares Estimation
  - Examples
    - Example 1
      - Output
    - Example 2
      - Output
  - Warning Errors
  - Fatal Errors
- max_arma
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Examples
    - Example 1
      - Output
    - Example 2
      - Output
- arma_forecast
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Examples
    - Example 1
      - Output
    - Example 2
      - Output
- regression_arima
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Remarks
  - Examples
    - Example 1
      - Output
    - Example 2
      - Output
- auto_uni_ar
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- seasonal_fit
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- ts_outlier_identification
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Examples
    - Example 1
      - Output
    - Example 2
      - Output
- ts_outlier_forecast
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- auto_arima
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
    - Model Selection
    - Outliers
  - Examples
- auto_parm
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Remarks
  - Example
    - Output
  - Warning Errors
- bayesian_seasonal_adj
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- box_cox_transform
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Examples
    - Example 1
      - Output
    - Example 2
      - Output
  - Fatal Errors
- difference
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Examples
    - Example 1
      - Output
    - Example 2
      - Output
  - Fatal Errors
- autocorrelation
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- crosscorrelation
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- multi_crosscorrelation
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- partial_autocorrelation
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- lack_of_fit
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- estimate_missing
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- hw_time_series
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
  - Warning Errors
  - Fatal Errors
- garch
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- kalman
  - Synopsis
  - Required Arguments
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
    - Example 1
      - Output
    - Example 2
      - Output
- vector_autoregression
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
    - Error-Correction form and Cointegration
    - The Granger-Causality Test
  - Comments
  - Examples
Chapter 9 Multivariate Analysis
- Functions
- Usage Notes
- dissimilarities
- cluster_hierarchical
- cluster_number
- cluster_k_means
- principal_components
- factor_analysis
- discriminant_analysis
Chapter 10 Survival and Reliability Analysis
- Functions
- Usage Notes
- kaplan_meier_estimates
- prop_hazards_gen_lin
- survival_glm
- survival_estimates
- nonparam_hazard_rate
- life_tables
Chapter 11 Probability Distribution Functions and Inverses
- Functions
- Usage Notes
  - Discrete Distributions
  - Continuous Distributions
  - Parameter Notation and Estimation
  - Additional Comments
- binomial_cdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
  - Informational Errors
- binomial_pdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Examples
    - Output
- geometric_cdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- geometric_inverse_cdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- geometric_pdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- hypergeometric_cdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
  - Informational Errors
  - Fatal Errors
- hypergeometric_pdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- poisson_cdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
  - Informational Errors
- poisson_pdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- discrete_uniform_cdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- discrete_uniform_inverse_cdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- discrete_uniform_pdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- beta_cdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- beta_inverse_cdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- non_central_beta_cdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- non_central_beta_inverse_cdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- non_central_beta_pdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- bivariate_normal_cdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- chi_squared_cdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
  - Informational Errors
  - Alert Errors
- chi_squared_inverse_cdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
  - Warning Errors
- complementary_chi_squared_cdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
  - Informational Errors
- non_central_chi_sq
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- non_central_chi_sq_inv
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- non_central_chi_sq_pdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- exponential_cdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- exponential_inverse_cdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- exponential_pdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- F_cdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- F_inverse_cdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
  - Fatal Errors
- complementary_F_cdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- non_central_F_pdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- non_central_F_cdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- complementary_non_central_F_cdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- non_central_F_inverse_cdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- gamma_cdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
  - Informational Errors
  - Fatal Errors
- gamma_inverse_cdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- lognormal_cdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
    - Example
    - Output
- lognormal_inverse_cdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- lognormal_pdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- normal_cdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- multivariate_normal_cdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Examples
    - Example 1
      - Output
    - Example 2
      - Output
  - Warning Errors
  - Fatal Errors
- normal_inverse_cdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- t_cdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- t_inverse_cdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
  - Informational Errors
- complementary_t_cdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- non_central_t_cdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- non_central_t_inv_cdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- non_central_t_pdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- pareto_cdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- pareto_pdf
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- max_likelihood_estimates
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Remarks
  - Examples
    - Example 1
      - Output
    - Example 2
      - Output
  - Warning Errors
Chapter 12 Random Number Generation
- Functions
- Usage Notes
  - Overview of Random Number Generation
  - Basic Uniform Generators
  - The Multiplicative Congruential Generators
  - Shuffled Generators
  - The Generalized Feedback Shift Register Generator
  - Setting the Seed
  - Timing Considerations
  - Distributions Other than the Uniform
  - Tests
  - Copula Generators and Canonical Correlation
    - Additional Notes on Usage
- random_binomial
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- random_geometric
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- random_hypergeometric
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
  - Fatal Errors
- random_logarithmic
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- random_neg_binomial
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- random_poisson
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- random_uniform_discrete
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- random_general_discrete
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Examples
    - Example 1
      - Output
    - Example 2
      - Output
- discrete_table_setup
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Examples
    - Example 1
      - Output
    - Example 2
      - Output
  - Fatal Errors
- random_beta
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- random_cauchy
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- random_chi_squared
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- random_exponential
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- random_exponential_mix
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- random_gamma
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- random_lognormal
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- random_normal
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Remarks
  - Example
    - Output
- random_stable
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- random_student_t
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- random_triangular
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- random_uniform
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- random_von_mises
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- random_weibull
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
  - Warning Errors
- random_general_continuous
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- continuous_table_setup
  - Synopsis
  - Required Arguments
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
  - Fatal Errors
- random_normal_multivariate
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- random_orthogonal_matrix
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- random_mvar_from_data
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- random_multinomial
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- random_sphere
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- random_table_twoway
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- random_mvar_gaussian_copula
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example: Using Gaussian Copulas to Imprint and Extract Correlation Information
    - Output
- random_mvar_t_copula
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example: Using Student’s t Copulas to Imprint and Extract Correlation Information
    - Output
- canonical_correlation
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example: Using Gaussian Copulas to Imprint and Extract Correlation Information
    - Outputs
- random_order_normal
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- random_order_uniform
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- random_arma
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Examples
    - Example 1
      - Output
    - Example 2
      - Output
  - Warning Errors
- random_npp
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
  - Fatal Errors
- random_permutation
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- random_sample_indices
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- random_sample
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Examples
    - Example 1
      - Output
    - Example 2
      - Output
- random_option
  - Synopsis
  - Required Arguments
  - Description
  - Example
- random_option_get
  - Synopsis
  - Return Value
  - Description
- random_seed_get
  - Synopsis
  - Return Value
  - Description
  - Example
    - Output
- random_substream_seed_get
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- random_seed_set
  - Synopsis
  - Required Arguments
  - Description
  - Example
- random_table_set
  - Synopsis
  - Required Arguments
  - Description
  - Example
- random_table_get
  - Synopsis
  - Required Arguments
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
- random_GFSR_table_set
  - Synopsis
  - Required Arguments
  - Description
  - Example
- random_GFSR_table_get
  - Synopsis
  - Required Arguments
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- random_MT32_init
  - Synopsis
  - Required Arguments
  - Description
  - Example
- random_MT32_table_get
  - Synopsis
  - Required Arguments
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- random_MT32_table_set
  - Synopsis
  - Required Arguments
  - Description
  - Example
- random_MT64_init
  - Synopsis
  - Required Arguments
  - Description
  - Example
- random_MT64_table_get
  - Synopsis
  - Required Arguments
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- random_MT64_table_set
  - Synopsis
  - Required Arguments
  - Description
  - Example
- faure_next_point
  - Synopsis
  - Required Arguments for imsls_faure_sequence_init
  - Return Value for imsls_faure_sequence_init
  - Required Arguments for imsls_faure_next_point
  - Return Value for imsls_faure_next_point
  - Required Arguments for imsls_faure_sequence_free
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
Chapter 13 Data Mining
- Functions
- Data Mining Usage Notes
  - Apriori
  - Decision Trees
  - Genetic Algorithms
  - Naive Bayes
  - Neural Networks
  - Data Filtering
  - Kohonen Self-organizing Map
  - Support Vector Machines
- apriori
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Data Structures
  - Example
    - Output
  - Warning Errors
  - Fatal Errors
- aggr_apriori
  - Synopsis
  - Required Arguments
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Data Structures
  - Example
    - Output
  - Warning Errors
  - Fatal Errors
- write_apriori_itemsets
  - Synopsis
  - Required Arguments
  - Description
  - Example
- write_association_rules
  - Synopsis
  - Required Arguments
  - Description
  - Example
- free_apriori_itemsets
  - Synopsis
  - Required Arguments
  - Description
  - Example
- free_association_rules
  - Synopsis
  - Required Arguments
  - Description
  - Example
- Decision Trees – An Overview
- decision_tree
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Structure Definitions
  - Examples
  - Warning Errors
  - Fatal Errors
- decision_tree_predict
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Comments
  - Example
    - Output
  - Warning Errors
- decision_tree_print
  - Synopsis
  - Required Arguments
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Comments
  - Example
    - Output
- decision_tree_free
  - Synopsis
  - Required Arguments
  - Description
  - Example
- Genetic Algorithms – An Overview
  - Data Structures
  - The Genetic Algorithm
  - Artificial Populations
- ga_chromosome
  - Synopsis
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- ga_copy_chromosome
  - Synopsis
  - Required Arguments
  - Description
- ga_clone_chromosome
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
- ga_individual
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- ga_copy_individual
  - Synopsis
  - Required Arguments
  - Description
- ga_clone_individual
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
- ga_mutate
  - Synopsis
  - Required Arguments
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
- ga_decode
  - Synopsis
  - Required Arguments
  - Description
- ga_encode
  - Synopsis
  - Required Arguments
  - Description
- ga_free_individual
  - Synopsis
  - Required Arguments
  - Description
  - Example
- ga_population
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- ga_random_population
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- ga_copy_population
  - Synopsis
  - Required Arguments
  - Description
- ga_clone_population
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
- ga_grow_population
  - Synopsis
  - Required Arguments
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
- ga_merge_population
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
- ga_free_population
  - Synopsis
  - Required Arguments
  - Description
  - Example
- genetic_algorithm
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Examples
  - Fatal Errors
- Naive Bayes – An Overview
- naive_bayes_trainer
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Examples
  - Fatal Errors
- naive_bayes_classification
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Examples
    - Example 1
      - Output
    - Example 2
      - Output
  - Fatal Errors
- nb_classifier_free
  - Synopsis
  - Required Arguments
  - Description
- nb_classifier_write
  - Synopsis
  - Required Arguments
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Examples
    - Example 1
      - Output
    - Example 2
      - Output
  - Fatal Errors
- nb_classifier_read
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Examples
- Neural Networks – An Overview
  - Neural Networks – History and Terminology
  - Network Applications
- Multilayer Feedforward Neural Networks
  - Neural Network Error Calculations
- mlff_network_init
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
- mlff_network
  - Synopsis
  - Required Arguments
  - Synopsis with Optional Arguments
  - Optional Arguments for imsls_f_mlff_network
  - Description
  - Examples
- mlff_network_free
  - Synopsis
  - Required Arguments
  - Description
  - Example
- mlff_network_write
  - Synopsis
  - Required Arguments
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Examples
    - Example 1
      - Output
    - Example 2
      - Output
  - Fatal Errors
- mlff_network_read
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Examples
    - Example 1
      - Output
    - Example 2
      - Output
  - Fatal Errors
- mlff_initialize_weights
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Examples
    - Example 1
      - Output
    - Example 2
      - Output
- mlff_network_trainer
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Training Data
  - Network Configuration
  - Training Efficiency
  - Output
  - Example
    - Output
- mlff_network_forecast
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Training Data
  - Network Configuration
  - Forecast Calculation
  - Example
    - Output
- mlff_classification_trainer
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Training Patterns
  - Network Configuration
  - Training Efficiency
  - Output
  - Examples
    - Example 1
      - Output
    - Example 2
      - Output
- mlff_pattern_classification
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Pattern Classification Attributes
  - Network Configuration
  - Classification Probabilities
  - Examples
    - Example 1
      - Output
    - Example 2
      - Output
- scale_filter
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Method ±1: Bounded Scaling and Unscaling
  - Method +2 or +3: Unbounded z-score Scaling
  - Method -2 or -3: Unbounded z-score Unscaling
  - Method +4 or +5: Bounded z-score Scaling
  - Method -4 or -5: Bounded z-score unscaling
  - Example
    - Output
- time_series_filter
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- time_series_class_filter
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- unsupervised_nominal_filter
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Binary Encoding: IMSLS_ENCODE
  - Binary Decoding: IMSLS_DECODE
  - Example
    - Output
- unsupervised_ordinal_filter
  - Synopsis
  - Required Arguments
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Ordinal Filtering: IMSLS_ENCODE
  - Ordinal UnFiltering: IMSLS_DECODE
  - Example
    - Output
- kohonenSOM_trainer
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Data Structures
  - Example
  - Output
- kohonenSOM_forecast
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
  - Output
- Support Vector Machines – An Overview
- support_vector_trainer
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Examples
  - Warning Errors
- support_vector_classification
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Examples
  - Warning Errors
- svm_classifier_free
  - Synopsis
  - Required Arguments
  - Description
Chapter 14 Printing Functions
- Functions
- write_matrix
- page
- write_options
Chapter 15 Utilities
- Functions
- output_file
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Examples
    - Example 1
      - Output
      - File myfile
    - Example 2
      - Output
- version
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
- error_options
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Return Value
  - Description
  - Examples
- error_code
  - Synopsis
  - Return Value
  - Example
    - Output
- error_type
  - Synopsis
  - Return Value
  - Description
  - Example
- error_message
  - Synopsis
  - Return Value
  - Description
  - Example
    - Output
- initialize_error_handler
  - Synopsis
  - Return Value
  - Description
  - Example
    - Output
- set_user_fcn_return_flag
  - Synopsis
  - Required Arguments
  - Description
  - Programming Notes
  - Examples
    - Example 1
      - Output
    - Example 2
      - Output
- initialize
- free
  - Synopsis
  - Required Arguments
  - Description
  - Example
    - Output
- fopen
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- fclose
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
- ascii_read
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Examples
  - Warning Errors
- omp_options
  - Synopsis
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- machine (integer)
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- machine (float)
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- data_sets
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- mat_mul_rect
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- permute_vector
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- permute_matrix
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
- impute_missing
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Examples
  - Warning Errors
- binomial_coefficient
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- beta
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
  - Alert Errors
  - Fatal Errors
- beta_incomplete
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
- log_beta
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
  - Warning Errors
- gamma
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
  - Alert Errors
  - Warning Errors
  - Fatal Errors
- gamma_incomplete
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
  - Fatal Errors
- log_gamma
  - Synopsis
  - Required Arguments
  - Return Value
  - Description
  - Example
    - Output
  - Warning Errors
  - Fatal Errors
- ctime
  - Synopsis
  - Return Value
  - Example
    - Output
- Programming Notes for Using NVIDIA® CUDA™ Toolkit
  - Rationale and General Algorithm
  - Implementation
- cuda_get
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
    - Output
  - Warning Errors
- cuda_set
  - Synopsis
  - Required Arguments
  - Return Value
  - Synopsis with Optional Arguments
  - Optional Arguments
  - Description
  - Example
  - Warning Errors
- cuda_free
  - Synopsis
  - Return Value
  - Description
  - Example
  - Warning Errors
Reference Material
- Contents
- User Errors
Appendix A: References
- Abdi
- Abe
- Abramowitz and Stegun
- Afifi and Azen
- Agrawal and Srikant
- Agresti, Wackerly, and Boyette
- Aha
- Ahrens and Dieter
- Akaike
- Akaike et al
- Anderberg
- Anderson
- Anderson and Bancroft
- Asuncion and Newman
- Atkinson
- Baker
- Barrodale and Roberts
- Bartlett, M. S.
- Bays and Durham
- Bendel and Mickey
- Berry
- Best and Fisher
- Bishop
- Bishop et al
- Bjorck and Golub
- Blom
- Bosten and Battiste
- Box and Jenkins
- Box and Pierce
- Box and Tidwell
- Box et al.
- Boyette
- Bradley
- Breiman
- Breslow
- Bridel
- Brown
- Brown and Benedetti
- Calvo
- Chang and Lin
- Chatfield and Yar
- Chen and Liu
- Cheng
- Chiang
- Clarkson and Jenrich
- Coley
- Conover
- Conover and Iman
- Conover, W. J., Johnson, M. E., and Johnson, M. M
- Cook and Weisberg
- Cooper
- Cox
- Cox and Lewis
- Cox and Oakes
- Cox and Stuart
- Cranley and Patterson
- D'Agostino and Stevens
- Dallal and Wilkinson
- Davis and Rabinowitz
- De Jong
- De Jong
- Demiroz et al.
- Dennis and Schnabel
- Devore
- Doornik
- Draper and Smith
- Dunnett and Sobel
- Durbin
- Efroymson
- Ekblom
- Elandt-Johnson and Johnson
- Elman
- Emmett
- Engle
- Engle, R.F. and C.W.J. Granger
- Fan, Chen, and Joachims
- Fisher
- Fishman
- Fishman and Moore
- Forsythe
- Frank and Friedman
- Frey and Slate
- Fuller
- Furnival and Wilson
- Fushimi
- Gentleman
- Genz
- Gibbons
- Girschick
- Gnanadesikan
- Goldberg
- Golub and Van Loan
- Gonin and Money
- Goodnight
- Graybill
- Griffin and Redish
- Gross and Clark
- Gruenberger and Mark
- Guerra et al.
- Giudici
- Haldane
- Hamilton
- Harman
- Hart et al
- Hartigan
- Hartigan and Wong
- Hastie et al
- Hayter
- Hebb
- Heiberger
- Hemmerle.
- Herraman
- Hill
- Hinkelmann, K and Kemthorne
- Hinkley
- Hoaglin and Welsch
- Hocking
- Hollmén
- Hopfield
- Holland
- Hosmer and Lemeshow
- Huber
- Hutchinson
- Hughes and Saw
- Hwang
- Iman and Davenport
- Jacobs
- Jennrich and Robinson
- Jennrich and Sampson
- Johansen
- John
- Jöhnk
- Johnson and Kotz
- Johnson and Kotz
- Johnson and Welch
- Jonckheere
- Jöreskog
- Kachitvichyanukul
- Kaiser
- Kaiser and Caffrey
- Kalbfleisch and Prentice
- Kass
- Keast
- Kemp
- Kendall and Stuart
- Kendall et al.
- Kennedy and Gentle
- Kohonen
- Kuehl, R. O.
- Kim and Jennrich
- Kinderman and Ramage
- Kinderman et al.
- Kinnucan and Kuki
- Kirk
- Kitagawa and Akaike
- Konishi and Kitagawa
- Knuth
- Kshirsagar
- Lachenbruch
- Lai
- Laird and Oliver
- Lawless
- Lawley and Maxwell
- Lawrence et al
- Learmonth and Lewis
- Lee
- Lehmann
- Levenberg
- Levene, H.
- Lewis et al.
- Li
- Liffiefors
- Lippmann
- Ljung and Box
- Loh
- Longley
- Lütkepohl
- Matsumoto and Nishimure
- Mandic
- Manning
- Marsaglia
- Marsaglia and Tsang
- Martens and Martens
- McCulloch
- McKean and Schrader
- McKeon
- McCullagh and Nelder
- Maindonald
- Marazzi
- Mardia et al.
- Mardia and Foster
- Marquardt
- Marsaglia
- Marsaglia and Bray
- Marsaglia et al.
- Merle and Spath
- Miller
- Milliken and Johnson
- Mitchell
- Moran
- Moré et al.
- Morrison
- Muller
- Nelson
- Nelson
- Neter
- Neter and Wasserman
- Noether
- NVIDIA
- Otto et al
- Owen
- Ozaki and Oda
- Pao
- Palm
- Parker
- Patefield
- Patefield and Tandy
- Peixoto
- Petro
- Pillai
- Poli
- Pregibon
- Prentice
- Priestley
- Quinlan
- Rajaraman and Ullman
- Rao
- Reed
- Ripley
- Robinson
- Rosenblatt
- Royston
- Rumelhart
- Sallas
- Sallas and Lionti
- Savage
- Savasere, Omiecinski, and Navathe
- Scheffe
- Schmeiser
- Schmeiser and Babu
- Schmeiser and Kachitvichyanukul
- Schmeiser and Lal
- Searle
- Seber
- Shampine
- Siegal
- Singleton
- Smirnov
- Smith and Dubey
- Smith
- Snedecor and Cochran
- Snedecor and Cochran
- Sposito
- Spurrier and Isham
- Stablein, Carter, and Novak
- Stahel
- Steel and Torrie
- Stephens
- Stirling
- Stoline
- Story
- Strecok
- Studenmund
- Swingler
- Tanner and Wong
- Taylor and Thompson
- Tesauro
- Tezuka
- Thisted
- Thompson
- Tong
- Tucker and Lewis
- Tukey
- Velleman and Hoaglin
- Verdooren
- Wallace
- Warner
- Weisberg
- Werbos
- Wetzel
- Williams
- Witten
- Wold, Sjöström and Eriksson
- Woodfield
- Wu
- Xi et al
- Yates, F.
- Yoav and Hochberg
Appendix B: Alphabetical Summary of Functions
Product Support
- Contacting IMSL Support