Uses of Class
com.imsl.stat.ProportionalHazards.ClassificationVariableLimitException

Packages that use ProportionalHazards.ClassificationVariableLimitException

Package	Description
com.imsl.stat	Statistical methods.

Uses of ProportionalHazards.ClassificationVariableLimitException in com.imsl.stat

Methods in com.imsl.stat that throw ProportionalHazards.ClassificationVariableLimitException

Modifier and Type	Method and Description
double[][]	ProportionalHazards.getCaseStatistics() Returns the case statistics for each observation.
int[]	ProportionalHazards.getClassValueCounts() Returns the number of values taken by each classification variable.
double[]	ProportionalHazards.getClassValues() Returns the class values taken by each classification variable.
double[]	ProportionalHazards.getGradient() Returns the inverse of the Hessian times the gradient vector, computed at the initial estimates.
double[][]	ProportionalHazards.getHessian() Returns the inverse of the Hessian of the negative of the log-likelihood, computed at the initial estimates.
double[]	ProportionalHazards.getInitialEstimates() Gets the initial parameter estimates.
double[]	ProportionalHazards.getLastUpdates() Gets the last parameter updates.
double	ProportionalHazards.getMaximumLikelihood() Returns the maximized log-likelihood.
double[]	ProportionalHazards.getMeans() Returns the means of the design variables.
int	ProportionalHazards.getNumberOfCoefficients() Returns the number of estimated coefficients in the model.
int	ProportionalHazards.getNumberRowsMissing() Returns the number of rows of data in x that contain missing values in one or more specific columns of x.
double[][]	ProportionalHazards.getParameterStatistics() Returns the parameter estimates and associated statistics.
int[]	ProportionalHazards.getStratumNumbers() Returns the stratum number used for each observation.
double[][]	ProportionalHazards.getVarianceCovarianceMatrix() Returns the estimated asymptotic variance-covariance matrix of the parameters.