Package: PICBayes 1.0
Chun Pan
PICBayes: Bayesian Models for Partly Interval-Censored Data
Contains functions to fit proportional hazards (PH) model to partly interval-censored (PIC) data (Pan et al. (2020) <doi:10.1177/0962280220921552>), PH model with spatial frailty to spatially dependent PIC data (Pan and Cai (2021) <doi:10.1080/03610918.2020.1839497>), and mixed effects PH model to clustered PIC data. Each random intercept/random effect can follow both a normal prior and a Dirichlet process mixture prior. It also includes the corresponding functions for general interval-censored data.
Authors:
PICBayes_1.0.tar.gz
PICBayes_1.0.tar.gz(r-4.5-noble)PICBayes_1.0.tar.gz(r-4.4-noble)
PICBayes_1.0.tgz(r-4.4-emscripten)PICBayes_1.0.tgz(r-4.3-emscripten)
PICBayes.pdf |PICBayes.html✨
PICBayes/json (API)
# Install 'PICBayes' in R: |
install.packages('PICBayes', 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 3 years agofrom:79becb9f75. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 17 2024 |
R-4.5-linux | OK | Oct 17 2024 |
Exports:clusterIC_intclusterIC_int_DPclusterIC_trtclusterIC_trt_DPclusterIC_ZclusterIC_Z_DPclusterPIC_intclusterPIC_int_DPclusterPIC_trtclusterPIC_trt_DPclusterPIC_ZclusterPIC_Z_DPcoef.PICBayesIClogLik.PICBayesPICPICBayesPICBayes.defaultPICBayes.formulaplot.PICBayesspatialICspatialPICsummary.PICBayesSurvtoLR
Dependencies:codalatticeMASSMatrixMatrixModelsmcmcMCMCpackquantregSparseMsurvival