Package: SurvRegCensCov 1.8

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

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) <doi:10.48550/arXiv.1402.0432>.

Authors:Stanislas Hubeaux [aut, cre], Kaspar Rufibach [aut]

SurvRegCensCov_1.8.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
SurvRegCensCov/json (API)

# Install 'SurvRegCensCov' in R:

install.packages('SurvRegCensCov', repos = c('https://stanislashubeaux.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

larynx - Survival Times of Larynx Cancer Patients

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.26 score 1 stars 60 scripts 422 downloads 3 mentions 20 exports 4 dependencies

Last updated from:15ae9cb08c. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	132
source / vignettes	OK	171
linux-release-x86_64	OK	105
macos-release-arm64	OK	128
macos-oldrel-arm64	OK	151
windows-devel	OK	100
windows-release	OK	77
windows-oldrel	OK	93
wasm-release	OK	105

Exports:CDF censorContVar ConvertWeibull F_time h_conditional LoglikGammaCens LoglikLogisticCens LoglikNormalCens LoglikNormalDeltaCens LoglikWeibullCens LoglikWeibullSurvRegCens NormalMeanDiffCens ParamSampleCens S_conditional SurvRegCens survtime TimeSampleWeibull WeibullDiag WeibullIntegrate WeibullReg

Dependencies:lattice Matrix numDeriv survival

Background about Weibull regression

WeibullReg | WeibullDiag

Rendered fromweibull.Rnwusingutils::Sweave

Last update: 2023-09-27
Started: 2014-01-14

Help page	Topics
Weibull Regression for a Right-Censored Endpoint with Interval-Censored Covariates	SurvRegCensCov-package SurvRegCensCov SurvRegCensCov.package
Cumulative distribution function	CDF
Censor a vector of continuous numbers	censorContVar
Extract coefficients of Weibull regression with an interval-censored covariate	coef.src
Transformation of survreg output for the Weibull distribution	ConvertWeibull
Survival Times of Larynx Cancer Patients	larynx
Extract value of log-likelihood at maximum for Weibull regression with an interval-censored covariate	logLik.src
Log-likelihood functions for estimation of canonical parameters from a censored sample	LoglikGammaCens LoglikLogisticCens LoglikNormalCens LoglikWeibullCens
Log likelihood function to compute mean difference between two normally distributed censored samples.	LoglikNormalDeltaCens
Log-likelihood function of a Weibull Survival Regression Model allowing for an interval-censored covariate.	h_conditional LoglikWeibullSurvRegCens S_conditional
Maximum Likelihood Estimator for the mean difference between two censored normally distributed samples	NormalMeanDiffCens
Maximum Likelihood Estimator of parameters from a censored sample	ParamSampleCens
Print result of Weibull regression with an interval-censored covariate	print.src
Summarizing Weibull regression with an interval-censored covariate	summary.src
Weibull Survival Regression Model with a censored covariate	SurvRegCens
Generate time-to-event data according to a Weibull regression model	F_time survtime TimeSampleWeibull
Diagnostic Plot of Adequacy of Weibull Distribution	WeibullDiag
Function to be integrated in function 'SurvRegCens'	WeibullIntegrate
Weibull Regression for Survival Data	WeibullReg

Package: SurvRegCensCov 1.8

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

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)