dpPost: Run a Bayesian mixed effects model for by-subject random...

Description Usage Arguments Value Note Author(s) See Also

Description

An internal function to dpgrow

Usage

1
dpPost(y, X, Z, subjects, niter, nburn, nthin, shapealph, ratebeta)

Arguments

y

An N x 1 response (of subject-measure cases)

X

Fixed effects design matrix

Z

Random effects design matrix. Assumed grouped by subjects

subjects

An N x 1 set of subject identifiers

niter

The number of MCMC iterations

nburn

The number of MCMC burn-in iterations to discard

nthin

The step increment of MCMC samples to return

shapealph

The shape parameter for the Γ prior on the DP concentration parameter. The rate parameter is set of 1.

ratebeta

The rate parameter for the Γ prior on the DP concentration parameter. Default value is 1.

Value

res A list object containing MCMC runs for all model parameters.

Note

Intended as an internal function for dpgrow

Author(s)

Terrance Savitsky tds151@gmail.com

See Also

dpgrow


growcurves documentation built on May 2, 2019, 7:03 a.m.