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bonsaiforest  

Shrinkage Based Forest Plots
View on CRAN: Click here


Download and install bonsaiforest package within the R console
Install from CRAN:
install.packages("bonsaiforest")

Install from Github:
library("remotes")
install_github("cran/bonsaiforest")

Install by package version:
library("remotes")
install_version("bonsaiforest", "0.1.1")



Attach the package and use:
library("bonsaiforest")
Maintained by
Isaac Gravestock
[Scholar Profile | Author Map]
First Published: 2024-06-17
Latest Update: 2024-06-17
Description:
Subgroup analyses are routinely performed in clinical trial analyses. From a methodological perspective, two key issues of subgroup analyses are multiplicity (even if only predefined subgroups are investigated) and the low sample sizes of subgroups which lead to highly variable estimates, see e.g. Yusuf et al (1991) <doi:10.1001/jama.1991.03470010097038>. This package implements subgroup estimates based on Bayesian shrinkage priors, see Carvalho et al (2019) <https://proceedings.mlr.press/v5/carvalho09a.html>. In addition, estimates based on penalized likelihood inference are available, based on Simon et al (2011) <doi:10.18637/jss.v039.i05>. The corresponding shrinkage based forest plots address the aforementioned issues and can complement standard forest plots in practical clinical trial analyses.
How to cite:
Isaac Gravestock (2024). bonsaiforest: Shrinkage Based Forest Plots. R package version 0.1.1, https://cran.r-project.org/web/packages/bonsaiforest. Accessed 17 Feb. 2025.
Previous versions and publish date:
0.1.0 (2024-06-17 18:00)
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