Introduction | Simulating Dependent Current Status Data | Model Fitting | Summary & Model Diagnostics | Prediction & Forecasting | Plotting | Real Data Example (Primary Biliary Cirrhosis)
Package: SemiParamBernsteinDepCS 0.1.0
SemiParamBernsteinDepCS: Semiparametric Bayesian Regression for Dependent Current Status Data
Implements a semiparametric Bayesian regression framework using Bernstein polynomial baseline models for analyzing dependent current status data. The package accommodates proportional hazards (PH) and proportional odds (PO) regression models with Archimedean copulas ('Gumbel', 'Frank', and 'Clayton') to model the joint dependence structure between event and observation or censoring times. Estimation is performed using a Robust Adaptive Metropolis (RAM) Markov Chain Monte Carlo ('MCMC') algorithm. Model comparison metrics including Deviance Information Criterion ('DIC') and posterior summaries with Highest Posterior Density ('HPD') intervals and Kendall's tau are provided. Methodological details are described in Sharma and Balakrishnan (2026) <doi:10.1080/02664763.2026.2701921>.
Authors:
SemiParamBernsteinDepCS_0.1.0.tar.gz
SemiParamBernsteinDepCS_0.1.0.zip(r-4.7-any)SemiParamBernsteinDepCS_0.1.0.zip(r-4.6-any)SemiParamBernsteinDepCS_0.1.0.zip(r-4.5-any)
SemiParamBernsteinDepCS_0.1.0.tgz(r-4.6-any)SemiParamBernsteinDepCS_0.1.0.tgz(r-4.5-any)
SemiParamBernsteinDepCS_0.1.0.tar.gz(r-4.7-any)SemiParamBernsteinDepCS_0.1.0.tar.gz(r-4.6-any)
SemiParamBernsteinDepCS_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
SemiParamBernsteinDepCS/json (API)
| # Install 'SemiParamBernsteinDepCS' in R: |
| install.packages('SemiParamBernsteinDepCS', repos = c('https://shikhartyagi.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- pbc_depcs - Primary Biliary Cirrhosis (PBC) Dependent Current Status Dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:20f6efb525. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 107 | ||
| source / vignettes | OK | 173 | ||
| linux-release | OK | 149 | ||
| macos-release | OK | 118 | ||
| macos-oldrel | OK | 106 | ||
| windows-devel | OK | 74 | ||
| windows-release | OK | 51 | ||
| windows-oldrel | OK | 67 | ||
| wasm-release | OK | 92 |
Exports:copula_kendall_taufit_bernstein_depcsfit_semiparam_bernstein_depcssim_bernstein_depcs
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Compute Kendall's Tau for Copula Families | copula_kendall_tau |
| Fit Semiparametric Bayesian Regression for Dependent Current Status Data | fit_bernstein_depcs fit_semiparam_bernstein_depcs |
| Primary Biliary Cirrhosis (PBC) Dependent Current Status Dataset | pbc_depcs |
| Plot Predicted Survival Curves or Diagnostics | plot.semiparam_bernstein_depcs |
| Predict Survival and Cumulative Hazards for New Data | predict.semiparam_bernstein_depcs |
| Print Summary of Fitted SemiParamBernsteinDepCS Model | print.semiparam_bernstein_depcs |
| Simulate Dependent Current Status Data | sim_bernstein_depcs |
| Summarize Fitted SemiParamBernsteinDepCS Model | summary.semiparam_bernstein_depcs |