Package: BCHM 1.00
BCHM: Clinical Trial Calculation Based on BCHM Design
Users can estimate the treatment effect for multiple subgroups basket trials based on the Bayesian Cluster Hierarchical Model (BCHM). In this model, a Bayesian non-parametric method is applied to dynamically calculate the number of clusters by conducting the multiple cluster classification based on subgroup outcomes. Hierarchical model is used to compute the posterior probability of treatment effect with the borrowing strength determined by the Bayesian non-parametric clustering and the similarities between subgroups. To use this package, 'JAGS' software and 'rjags' package are required, and users need to pre-install them.
Authors:
BCHM_1.00.tar.gz
BCHM_1.00.tar.gz(r-4.5-noble)BCHM_1.00.tar.gz(r-4.4-noble)
BCHM_1.00.tgz(r-4.4-emscripten)BCHM_1.00.tgz(r-4.3-emscripten)
BCHM.pdf |BCHM.html✨
BCHM/json (API)
# Install 'BCHM' in R: |
install.packages('BCHM', 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 5 years agofrom:0e845f7f8d. Checks:OK: 1 NOTE: 1. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-linux | NOTE | Oct 31 2024 |
Exports:BCHMBCHMplot_clusterBCHMplot_post_distBCHMplot_post_value
Dependencies:clustercodacrayonevaluatehighrknitrlatticeplyrRcpprjagsxfunyaml
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Perform the analysis based on the BCHM design. | BCHM |
Plot the clustering results of subgroups. | BCHMplot_cluster |
Plot the posterior distributions of subgroups. | BCHMplot_post_dist |
Plot the posterior response of subgroups. | BCHMplot_post_value |