msurv: msurv

In AB5103/doubleCoxr: Parametric Gamma-Frailty Models with Non-Proportional Hazard Functions

Description

This function calculates marginal survival

Usage

msurv(D, nf, nk, ncl, dist, vpar, ID)

Arguments

D	A data.frame in which to interpret the variables named in the formula. The data set includes the following fields: time-to-failure and censoring in the case without left truncation or time-of-start, time-of-failure, and censoring in the case with left truncation at the time of begin (censoring must be either 0 for no event or 1 for event); Covariates (continuous or categorical) used in a study (can be empty set).
nf	The number of continuous and binary factors in the data set D corresponding to the covariates used in the Cox-regression for proportional hazard term.
nk	The number of continuous and binary factors in the data set D corresponding to the covariates used in the Cox-regression for shape b.
ncl	The number of clusters in the data set D corresponding to the cluster covariate. Is equal to 0 for the fixed-effect model).
dist	Baseline hazard function ('Weibull' or 'Gompertz').
vpar	The sample of the vector-row-parameters in matrix form.
ID	The order number of an object in the data set.

Value

Marginal survival for the object with order number ID

Examples

## Not run: 
msurv(D,nf,nk,ncl,dist,vpar,ID)

## End(Not run)

AB5103/doubleCoxr documentation built on Feb. 20, 2022, 2:20 p.m.