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SurvRegCensCov (version 1.5)

Weibull Regression for a Right-Censored Endpoint with Interval-Censored Covariate

Description

The function SurvRegCens() of this package allows estimation of a Weibull Regression for a right-censored endpoint, one interval-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. Hubeaux, S. and Rufibach, K. (2014) .

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Version

Install

install.packages('SurvRegCensCov')

Monthly Downloads

415

Version

1.5

License

GPL (>= 2)

Maintainer

Stanislas Hubeaux

Last Published

January 17th, 2022

Functions in SurvRegCensCov (1.5)

Weibull Survival Regression Model with a censored covariate

NormalMeanDiffCens

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

LoglikWeibullSurvRegCens

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

SurvRegCensCov-package

Weibull Regression for a Right-Censored Endpoint with Interval-Censored Covariates

LoglikNormalDeltaCens

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

TimeSampleWeibull

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

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

ParamSampleCens

Maximum Likelihood Estimator of parameters from a censored sample

Cumulative distribution function

Diagnostic Plot of Adequacy of Weibull Distribution

Transformation of survreg output for the Weibull distribution

Extract value of log-likelihood at maximum for Weibull regression with an interval-censored covariate

Summarizing Weibull regression with an interval-censored covariate

Print result of Weibull regression with an interval-censored covariate

Survival Times of Larynx Cancer Patients

Extract coefficients of Weibull regression with an interval-censored covariate

WeibullIntegrate

Function to be integrated in function SurvRegCens

Censor a vector of continuous numbers

Weibull Regression for Survival Data