Package: SurvRegCensCov 1.7

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) <arxiv:1402.0432>.

Authors:Stanislas Hubeaux <[email protected]> and Kaspar Rufibach <[email protected]>

SurvRegCensCov_1.7.tar.gz
SurvRegCensCov_1.7.zip(r-4.5)SurvRegCensCov_1.7.zip(r-4.4)SurvRegCensCov_1.7.zip(r-4.3)
SurvRegCensCov_1.7.tgz(r-4.4-any)SurvRegCensCov_1.7.tgz(r-4.3-any)
SurvRegCensCov_1.7.tar.gz(r-4.5-noble)SurvRegCensCov_1.7.tar.gz(r-4.4-noble)
SurvRegCensCov_1.7.tgz(r-4.4-emscripten)SurvRegCensCov_1.7.tgz(r-4.3-emscripten)
SurvRegCensCov.pdf |SurvRegCensCov.html✨
SurvRegCensCov/json (API)
NEWS

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

Peer review:

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.

3.12 score 1 stars 44 scripts 444 downloads 3 mentions 20 exports 4 dependencies

Last updated 1 years agofrom:5d7f9e6c87. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 21 2024
R-4.5-winNOTEOct 21 2024
R-4.5-linuxNOTEOct 21 2024
R-4.4-winOKOct 21 2024
R-4.4-macOKOct 21 2024
R-4.3-winOKOct 21 2024
R-4.3-macOKOct 21 2024

Exports:CDFcensorContVarConvertWeibullF_timeh_conditionalLoglikGammaCensLoglikLogisticCensLoglikNormalCensLoglikNormalDeltaCensLoglikWeibullCensLoglikWeibullSurvRegCensNormalMeanDiffCensParamSampleCensS_conditionalSurvRegCenssurvtimeTimeSampleWeibullWeibullDiagWeibullIntegrateWeibullReg

Dependencies:latticeMatrixnumDerivsurvival

Background about Weibull regression

Rendered fromweibull.Rnwusingutils::Sweaveon Oct 21 2024.

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

Readme and manuals

Help Manual

Help pageTopics
Weibull Regression for a Right-Censored Endpoint with Interval-Censored CovariatesSurvRegCensCov-package SurvRegCensCov SurvRegCensCov.package
Cumulative distribution functionCDF
Censor a vector of continuous numberscensorContVar
Extract coefficients of Weibull regression with an interval-censored covariatecoef.src
Transformation of survreg output for the Weibull distributionConvertWeibull
Survival Times of Larynx Cancer Patientslarynx
Extract value of log-likelihood at maximum for Weibull regression with an interval-censored covariatelogLik.src
Log-likelihood functions for estimation of canonical parameters from a censored sampleLoglikGammaCens 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 samplesNormalMeanDiffCens
Maximum Likelihood Estimator of parameters from a censored sampleParamSampleCens
Print result of Weibull regression with an interval-censored covariateprint.src
Summarizing Weibull regression with an interval-censored covariatesummary.src
Weibull Survival Regression Model with a censored covariateSurvRegCens
Generate time-to-event data according to a Weibull regression modelF_time survtime TimeSampleWeibull
Diagnostic Plot of Adequacy of Weibull DistributionWeibullDiag
Function to be integrated in function 'SurvRegCens'WeibullIntegrate
Weibull Regression for Survival DataWeibullReg