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BCHM
View on CRAN: Click
here
Download and install BCHM package within the R console
Install from CRAN:
install.packages("BCHM")
Install from Github:
library("remotes")
install_github("cran/BCHM")
Install by package version:
library("remotes")
install_version("BCHM", "1.00")
Attach the package and use:
library("BCHM")
Maintained by
J. Jack Lee
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-12-20
Latest Update: 2020-06-05
Description:
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.
How to cite:
J. Jack Lee (2019). BCHM: Clinical Trial Calculation Based on BCHM Design. R package version 1.00, https://cran.r-project.org/web/packages/BCHM
Other packages that cited BCHM R package
View BCHM citation profile
Other R packages that BCHM depends,
imports, suggests or enhances
Functions, R codes and Examples using
the BCHM R package
Some associated functions: BCHM . BCHMplot_cluster . BCHMplot_post_dist . BCHMplot_post_value .
Some associated R codes: BCHM.R . plot.R . utils.R . Full BCHM package functions and examples
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