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