The ProportionalHazards type exposes the following members.
Constructors
Name | Description | |
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ProportionalHazards | Constructor for ProportionalHazards.
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Methods
Name | Description | |
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Equals | (Inherited from Object.) | |
Finalize |
Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection.
(Inherited from Object.) | |
GetCaseStatistics | Returns the case statistics for each observation.
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GetClassValueCounts | Returns the number of values taken by each classification variable.
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GetClassValues | Returns the class values taken by each classification variable.
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GetGradient | Returns the inverse of the Hessian times the gradient vector,
computed at the initial estimates.
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GetHashCode |
Serves as a hash function for a particular type.
(Inherited from Object.) | |
GetHessian | Returns the inverse of the Hessian of the negative of the log-likelihood,
computed at the initial estimates.
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GetInitialEstimates | Gets the initial parameter estimates.
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GetLastUpdates | Gets the last parameter updates.
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GetMeans | Returns the means of the design variables.
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GetParameterStatistics | Returns the parameter estimates and associated statistics.
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GetStratumNumbers | Returns the stratum number used for each observation.
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GetType |
Gets the Type of the current instance.
(Inherited from Object.) | |
GetVarianceCovarianceMatrix | Returns the estimated asymptotic variance-covariance matrix of the parameters.
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MemberwiseClone |
Creates a shallow copy of the current Object.
(Inherited from Object.) | |
SetClassVarColumns | Sets the column indices of x that are the classification variables.
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SetInitialEstimates | Sets the initial parameter estimates.
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ToString | (Inherited from Object.) |
Properties
Name | Description | |
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CensorColumn | The column index of x containing the
optional censoring code for each observation.
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ConstantColumn | The column index of x containing the constant to be added
to the linear response.
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ConvergenceTol | The convergence tolerance.
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FrequencyColumn | The column index of x containing the frequency of
response for each observation.
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HessianOption | The boolean used to indicate whether or not to compute the Hessian
and gradient at the initial estimates.
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Logger |
Returns the logger object and enables logging.
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MaxClass | The upper bound used on the sum of the number of distinct values found among
the classification variables in x.
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MaximumLikelihood | Returns the maximized log-likelihood.
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MaxIterations | The maximum number of iterations allowed.
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NumberOfCoefficients | Returns the number of estimated coefficients in the model.
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NumberRowsMissing | The number of rows of data in x that contain
missing values in one or more columns of x.
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ResponseColumn | The column index of x containing the
response time for each observation.
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StratumColumn | The column index of x containing the stratum number
for each observation.
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StratumRatio | The ratio at which a stratum is split into two strata.
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TiesOption | The method used for handling ties.
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