Package: bspmma 0.1-2

Deborah Burr

bspmma: Bayesian Semiparametric Models for Meta-Analysis

The main functions carry out Gibbs' sampler routines for nonparametric and semiparametric Bayesian models for random effects meta-analysis.

Authors:Deborah Burr

# Install 'bspmma' in R:

install.packages('bspmma', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

Last updated 6 years agofrom:bb8ccb0ba2. Checks:OK: 2. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 10 2024
R-4.5-linux	OK	Sep 10 2024

Dependencies:

Help page	Topics
bspmma: Bayesian Semiparametric Models for Meta-Analysis	bspmma-package bspmma
Compute Bayes Factors for Comparing Values of the Dirichlet Precision Parameter in the Conditional Dirichlet Model	bf.c
Compute Bayes Factors for Conditional vs. Ordinary Dirichlet Models	bf.c.o
Compute Bayes Factors for Comparing Values of the Dirichlet Precision Parameter in the Ordinary Dirichlet Model	bf.o
Generate Chains for Computation of Bayes Factors	bf1
Compute Constants for Multi-Chain Algorithm to Compute Bayes Factors	bf2
Aspirin and Breast Cancer: 17 studies	breast.17
CAPRIE Study: Three Risk Groups	caprie.3grps
Decontamination of the Digestive Tract Mortality, Short Dataset	ddtm.s
Brief summary statistics of the posterior for convenient comparison of several models	describe.post
Mixture of Conditional Dirichlet Model	dirichlet.c
Mixture of Ordinary Dirichlet Model	dirichlet.o
Plot Function for Bayes Factors	draw.bf
Overlapping Plots of Posterior Distributions for Several Models	draw.post
printing method for objects of class dir.cond	print.dir.cond
printing method for objects of class dir.ord	print.dir.ord