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BayesMultMeta
View on CRAN: Click
here
Download and install BayesMultMeta package within the R console
Install from CRAN:
install.packages("BayesMultMeta")
Install from Github:
library("remotes")
install_github("cran/BayesMultMeta")
Install by package version:
library("remotes")
install_version("BayesMultMeta", "0.1.1")
Attach the package and use:
library("BayesMultMeta")
Maintained by
Erik Thorsén
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.BayesMultMeta . BayesMultMeta results . BayesMultMeta.pdf . BayesMultMeta_0.1.1.tar.gz . BayesMultMeta_0.1.1.zip . BayesMultMeta_0.1.1.zip . BayesMultMeta_0.1.1.zip . BayesMultMeta_0.1.1.tgz . BayesMultMeta_0.1.1.tgz . BayesMultMeta_0.1.1.tgz . BayesMultMeta_0.1.1.tgz . BayesMultMeta_0.1.1.tgz . BayesMultMeta_0.1.1.tgz . BayesMultMeta archive . https://CRAN.R-project.org/package=BayesMultMeta .
First Published: 2022-05-17
Latest Update: 2022-06-09
Description:
Objective Bayesian inference procedures for the parameters of the
multivariate random effects model with application to multivariate
meta-analysis. The posterior for the model parameters, namely the overall
mean vector and the between-study covariance matrix, are assessed by
constructing Markov chains based on the Metropolis-Hastings algorithms as
developed in Bodnar and Bodnar (2021) (). The
Metropolis-Hastings algorithm is designed under the assumption of the
normal distribution and the t-distribution when the Berger and Bernardo
reference prior and the Jeffreys prior are assigned to the model parameters.
Convergence properties of the generated Markov chains are investigated by
the rank plots and the split hat-R estimate based on the rank normalization,
which are proposed in Vehtari et al. (2021) ().
How to cite:
Erik Thorsén (2022). BayesMultMeta: Bayesian Multivariate Meta-Analysis. R package version 0.1.1, https://cran.r-project.org/web/packages/BayesMultMeta. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.1.0 (2022-05-17 18:50)
Other packages that cited BayesMultMeta R package
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Other R packages that BayesMultMeta depends,
imports, suggests or enhances
Complete documentation for BayesMultMeta
Functions, R codes and Examples using
the BayesMultMeta R package
Some associated functions: BayesMultMeta . MC_ranks . bayes_inference . duplication_matrix . plot.BayesMultMeta . sample_post_nor_jef_marg_Psi . sample_post_nor_jef_marg_mu . sample_post_nor_ref_marg_Psi . sample_post_nor_ref_marg_mu . sample_post_t_jef_marg_Psi . sample_post_t_jef_marg_mu . sample_post_t_ref_marg_Psi . sample_post_t_ref_marg_mu . split_rank_hatR . summary.BayesMultMeta .
Some associated R codes: BayesMultMeta.R . MH_sample_post.R . Full BayesMultMeta package functions and examples
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