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bspmma  

Bayesian Semiparametric Models for Meta-Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bspmma", "0.1-2")



Attach the package and use:
library("bspmma")
Maintained by
Deborah Burr
[Scholar Profile | Author Map]
First Published: 2012-07-17
Latest Update: 2019-01-13
Description:
The main functions carry out Gibbs' sampler routines for nonparametric and semiparametric Bayesian models for random effects meta-analysis.
How to cite:
Deborah Burr (2012). bspmma: Bayesian Semiparametric Models for Meta-Analysis. R package version 0.1-2, https://cran.r-project.org/web/packages/bspmma. Accessed 04 Apr. 2025.
Previous versions and publish date:
0.1-1 (2012-07-17 07:15)
Other packages that cited bspmma R package
View bspmma citation profile
Other R packages that bspmma depends, imports, suggests or enhances
Complete documentation for bspmma
Functions, R codes and Examples using the bspmma R package
Some associated functions: bf.c.o . bf.c . bf.o . bf1 . bf2 . breast.17 . bspmma-package . caprie.3grps . ddtm.s . describe.post . dirichlet.c . dirichlet.o . draw.bf . draw.post . print.dir.cond . print.dir.ord . 
Some associated R codes: bayes.constants.R . describe.posteriors.R . dir-cond.R . dir-uncond.R . draw.posteriors.R . methods.R . modelfit.R .  Full bspmma package functions and examples
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