Bayesian Individual Patient Data Meta-Analysis using 'JAGS'

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Documentation for package ‘bipd’ version 0.3

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

bipd-package	bipd: A package for individual patient data meta-analysis using 'JAGS'
add.mcmc	Convenient function to add results (i.e. combine mcmc.list)
findMissingPattern	Find missing data pattern in a given data
generate_ipdma_example	Generate a simulated IPD-MA data for demonstration
generate_ipdnma_example	Generate a simualted IPD-NMA data for demonstration
generate_sysmiss_ipdma_example	Generate a simulated IPD-MA data with systematically missing covariates
ipd.run	Run the model using the ipd object
ipd.run.parallel	Run the model using the ipd object with parallel computation
ipdma.impute	Impute missing data in individual participant data with two treatments (i.e. placebo and a treatment).
ipdma.model.deft.onestage	Make a (deft-approach) one-stage individual patient data meta-analysis object containing data, priors, and a JAGS model code
ipdma.model.onestage	Make an one-stage individual patient data meta-analysis object containing data, priors, and a JAGS model code
ipdnma.model.onestage	Make an one-stage individual patient data network meta-analysis object containing data, priors, and a JAGS model code
treatment.effect	Calculate patient-specific treatment effect