Overview | Data | Fitting the Model with PMLE | Results | Dependence between relapse and death | Regression coefficients for relapse (non-terminal event) | Regression coefficients for death (terminal event) | Comparison: PMLE vs Simultaneous MLE | Reference
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:
PMLE4SCR_0.1.0.tar.gz
PMLE4SCR_0.1.0.zip(r-4.7-any)PMLE4SCR_0.1.0.zip(r-4.6-any)
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✨
DESCRIPTION
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:89ef78a262. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 137 | ||
| source / vignettes | OK | 199 | ||
| linux-release | OK | 127 | ||
| windows-devel | OK | 101 | ||
| windows-release | OK | 84 | ||
| wasm-release | OK | 114 |
Exports:fitSPTMLE4SCRPMLE4SCRpredictFitSPT
Dependencies:ADGofTestclidplyrgenericsgluelatticelifecyclemagrittrMASSmvtnormpillarpkgconfigR6rlangtibbletidyselecttrustutf8vctrsVineCopulawithr
