hzdrate.sshzd2d: Evaluating 2-D Smoothing Spline Hazard Estimates

In gsscopu: Copula Density and 2-D Hazard Estimation using Smoothing Splines

Description

Evaluate 2-D smoothing spline hazard estimates by sshzd2d.

Usage

hzdrate.sshzd2d(object, time, covariates=NULL)
survexp.sshzd2d(object, time, covariates=NULL, job=3) 

Arguments

object	Object of class "sshzd2d".
time	Matrix or vector of time points on which hazard or survival function is to be evaluated.
covariates	Data frame of covariate values.
job	Flag indicating which survival function to evaluate.

Value

A vector of hazard or survival values.

Note

For job=1,2, survexp.sshzd2d returns marginal survival S1(t) or S2(t). For job=3, survexp.sshzd2d returns the 2-D survival S(t1,t2).

For hzdrate.sshzd2d and survexp.sshzd2d with job=3, time should be a matrix of two columns. For survexp.sshzd2d with job=1,2, time should be a vector.

When covariates is present, its length should be either 1 or that of time.

See Also

Fitting function sshzd2d.

gsscopu documentation built on May 2, 2019, 2:10 p.m.