Uses of Class
com.imsl.stat.ProportionalHazards.ClassificationVariableLimitException
Packages that use ProportionalHazards.ClassificationVariableLimitException
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Uses of ProportionalHazards.ClassificationVariableLimitException in com.imsl.stat
Methods in com.imsl.stat that throw ProportionalHazards.ClassificationVariableLimitExceptionModifier and TypeMethodDescriptiondouble[][]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.doubleProportionalHazards.getMaximumLikelihood()Returns the maximized log-likelihood.double[]ProportionalHazards.getMeans()Returns the means of the design variables.intProportionalHazards.getNumberOfCoefficients()Returns the number of estimated coefficients in the model.intProportionalHazards.getNumberRowsMissing()Returns the number of rows of data inxthat contain missing values in one or more specific columns ofx.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.