TimeSampleWeibull

survtime

F_time

covariate_noncens

Matrix where each column represents a non-censored covariate.

covariate_cens

lambda

gamma

Regression parameters, ordered as $\beta$ linked to the non-censored covariates, $\beta$ linked to the censored covariate.

beta

Generates time-to-event data using the transform inverse sampling method, and such that the time-to-event is distributed according to a Weibull distribution induced by censored and/or non-censored covariates. Can be used to set up simulations.

methods

The main function of this package allows estimation of a Weibull Regression for a right-censored endpoint, one arbitrarily censored covariate, and an arbitrary number of non-censored covariates. Additional functions allow to switch between different parametrizations of Weibull regression used by different R functions, inference for the mean difference of two arbitrarily censored Normal samples, and estimation of canonical parameters from censored samples for several distributional assumptions.

TimeSampleWeibull: Generate time-to-event data according to a Weibull regression model

Description

Usage

Arguments