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SurvRegCensCov (version 1.1)

Weibull Regression for a Right-Censored Endpoint with an Arbitrarily Censored Covariate

Description

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.

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Version

Install

install.packages('SurvRegCensCov')

Monthly Downloads

439

Version

1.1

License

GPL (>= 2)

Maintainer

Stanislas Hubeaux

Last Published

February 5th, 2014

Functions in SurvRegCensCov (1.1)

Transformation of survreg output for the Weibull distribution

LoglikWeibullSurvRegCens

Log-likelihood function of a Weibull Survival Regression Model allowing for an interval-censored covariate.

ParamSampleCens

Maximum Likelihood Estimator of parameters from a censored sample

Diagnostic Plot of Adequacy of Weibull Distribution

TimeSampleWeibull

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

LoglikNormalDeltaCens

Log likelihood function to compute mean difference between two normally distributed censored samples.

Weibull Survival Regression Model with a censored covariate

NormalMeanDiffCens

Maximum Likelihood Estimator for the mean difference between two censored normally distributed samples

WeibullIntegrate

Function to be integrated in function SurvRegCens

SurvRegCensCov-package

Weibull Regression for a Right-Censored Endpoint with Censored Covariates

Cumulative distribution function

Survival Times of Larynx Cancer Patients

Log-likelihood functions for estimation of canonical parameters from a censored sample

Weibull Regression for Survival Data

Censor a vector of continuous numbers