Package: PMLE4SCR 0.1.0

Md. Ismail Hossain

PMLE4SCR: Pseudo Maximum Likelihood Estimation for Semi-Competing Risks Data

Implements two-stage pseudo maximum likelihood estimation (PMLE) for copula-based regression models with semi-competing risks data. The marginal distributions are modeled by semiparametric transformation regression models, and the dependence between bivariate event times is specified by a parametric copula function. See Arachchige, Chen and Zhou (2025) <doi:10.1007/s10985-024-09640-z> for details.

Authors:Qian M. Zhou [aut], Md. Ismail Hossain [aut, cre]

PMLE4SCR_0.1.0.tar.gz
PMLE4SCR_0.1.0.tar.gz(r-4.7-any)PMLE4SCR_0.1.0.tar.gz(r-4.6-any)
PMLE4SCR_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
PMLE4SCR/json (API)

# Install 'PMLE4SCR' in R:
install.packages('PMLE4SCR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

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

2.70 score 1 scripts 4 exports 21 dependencies

Last updated from:89ef78a262. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK130
source / vignettesOK191
linux-release-x86_64OK124
wasm-releaseOK117

Exports:fitSPTMLE4SCRPMLE4SCRpredictFitSPT

Dependencies:ADGofTestclidplyrgenericsgluelatticelifecyclemagrittrMASSmvtnormpillarpkgconfigR6rlangtibbletidyselecttrustutf8vctrsVineCopulawithr

Introduction to PMLE4SCR

Rendered fromPMLE4SCR-introduction.Rmdusingknitr::rmarkdownon Jun 08 2026.

Last update: 2026-06-08
Started: 2026-06-08