writeModel


type of outcome that needs to be specified. For binary, continuous and count data, 'bin',
'ctns' and 'count' need to be specified, respectively.


outcome


type of model that needs to be specified. There are 14 options: 'std.norm','std.dt',
'reg.norm','reg.dt','std.ta','std.mv','reg.ta','reg.mv','std','std.unif','std.hc','reg',
'reg.unif','reg.hc'.


model


model type---either fixed-effects("fix") or random-effects model("ran") needs to be 
specified.


type


file containing the appropriate model selected by user 


model.file


a data list containing information on observed data (including moderators).


data


The <code>writeModel</code> function helps to select the proper model to be contained in the 
'model.file' for MCMC simulation based on users' specifications.  


Provides a collection of functions for conducting meta-analyses under Bayesian context in R. The package includes functions for computing various effect size or outcome measures (e.g. odds ratios, mean difference and incidence rate ratio) for different types of data based on MCMC simulations. Users are allowed to fit fixed- and random-effects models with different priors to the data. Meta-regression can be carried out if effects of additional covariates are observed. Furthermore, the package provides functions for creating posterior distribution plots and forest plot to display main model output. Traceplots and some other diagnostic plots are also available for assessing model fit and performance.

writeModel: A function to write a text file encoding the modelling assumptions

Description

Usage

Arguments