RDocumentation
Moon
Learn R
Search all packages and functions
bspmma (version 0.1-2)
Bayesian Semiparametric Models for Meta-Analysis
Description
The main functions carry out Gibbs' sampler routines for nonparametric and semiparametric Bayesian models for random effects meta-analysis.
Copy Link
Copy
Link to current version
Version
Version
0.1-2
0.1-1
Down Chevron
Install
install.packages('bspmma')
Monthly Downloads
155
Version
0.1-2
License
GPL-2
Maintainer
Deborah Burr
Last Published
January 13th, 2019
Functions in bspmma (0.1-2)
Search functions
print.dir.cond
printing method for objects of class dir.cond
caprie.3grps
CAPRIE Study: Three Risk Groups
dirichlet.o
Mixture of Ordinary Dirichlet Model
dirichlet.c
Mixture of Conditional Dirichlet Model
print.dir.ord
printing method for objects of class dir.ord
draw.bf
Plot Function for Bayes Factors
draw.post
Overlapping Plots of Posterior Distributions for Several Models
bf2
Compute Constants for Multi-Chain Algorithm to Compute Bayes Factors
bf.c
Compute Bayes Factors for Comparing Values of the Dirichlet Precision Parameter in the Conditional Dirichlet Model
ddtm.s
Decontamination of the Digestive Tract Mortality, Short Dataset
describe.post
Brief summary statistics of the posterior for convenient comparison of several models
bf1
Generate Chains for Computation of Bayes Factors
bf.o
Compute Bayes Factors for Comparing Values of the Dirichlet Precision Parameter in the Ordinary Dirichlet Model
bf.c.o
Compute Bayes Factors for Conditional vs. Ordinary Dirichlet Models
bspmma-package
bspmma: Bayesian Semiparametric Models for Meta-Analysis
breast.17
Aspirin and Breast Cancer: 17 studies