R: Generate tuning parameters for MD model

tuneMD {eiPack}

R Documentation

Generate tuning parameters for MD model

Description

An adaptive algorithm to generate tuning parameters for the MCMC algorithm implemented in ei.MD.bayes. Since we are drawing each parameter one at a time, target acceptance rates are between 0.4 to 0.6.

Usage

tuneMD(formula, covariate = NULL, data, ntunes = 10, 
    totaldraws = 10000, ...)

Arguments

`formula`	A formula of the form `cbind(col1, col2, ...) ~ cbind(row1, row2, ...)` with rows as the predictor and columns as the response
`covariate`	An R formula for the optional covariate in the form `~ x`
`data`	data frame containing the variables specified in `formula` and `covariate`
`ntunes`	number of times to iterate the tuning algorithm
`totaldraws`	number of iterations for each tuning run
`...`	additional arguments passed to `ei.MD.bayes`

Value

A list containing matrices of tuning parameters.

Author(s)