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)

Olivia Lau <olivia.lau@post.harvard.edu>

### See Also

`ei.MD.bayes`

[Package eiPack version 0.1-6 Index]