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

In giabaio/bmeta: Bayesian Meta-Analysis and Meta-Regression

A function to write a text file encoding the modelling assumptions

Description

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

Usage

writeModel(outcome, model, type, model.file, data)

Arguments

outcome	type of outcome that needs to be specified. For binary, continuous and count data, 'bin', 'ctns' and 'count' need to be specified, respectively.
model	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'.
type	model type—either fixed-effects("fix") or random-effects model("ran") needs to be specified.
model.file	file containing the appropriate model selected by user
data	a data list containing information on observed data (including moderators).

Author(s)

Tao Ding Gianluca Baio

giabaio/bmeta documentation built on May 4, 2023, 3:31 p.m.