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.

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Version

Install

install.packages('bspmma')

Monthly Downloads

194

Version

0.1-2

License

GPL-2

Maintainer

Deborah Burr

Last Published

January 13th, 2019

Functions in bspmma (0.1-2)

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