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

In growcurves: Bayesian Semi and Nonparametric Growth Curve Models that Additionally Include Multiple Membership Random Effects

Description

An internal function to dpgrow

Usage

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 [e-mail]

See Also

dpgrow

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