model.study {BayesCACE}R Documentation

Model code of CACE analysis for a single study, or a two-step approach for meta-analysis with complete complice information

Description

This function generates the model code for a single study using the likelihood and model specified in Section 2.1, or a two-step approach for meta-analysis with complete compliance information as described in Section 2.2, "The two-step approach" of the package manuscript. This function will be called internally if user uses the cace.study function.

Usage

model.study(re.values = list())

Arguments

re.values

a list of parameter values for the random effects. It should contain the assignment for these parameters only: n.m and n.s, which refer to the mean and standard deviation used in the normal distribution estimation of n, as well as a.m, a.s, alpha.s.m, alpha.s.s, alpha.b.m, alpha.b.s, alpha.u.m, alpha.u.s, alpha.v.m, alpha.v.s. By default, this is an empty list, and all the mean are set to 0, and alpha.n.s = alpha.a.s = 0.16, and alpha.s.s = alpha.b.s = alpha.u.s = alpha.v.s = 0.25.

Value

It returns a model string

Examples

model.string <- model.study()

[Package BayesCACE version 1.2.1 Index]