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growcurves (version 0.2.4.1)

mmmultPost: Bayesian mixed effects model with a DP prior on by-subject effects and more than one multiple membership random effects term

Description

An internal function to dpgrowmult

Usage

mmmultPost(y, X, Z, Wcases, Mmats, Omegas, omegapluses, ngs, subjects, typet, niter, nburn, nthin, shapealph, ratebeta, strength.mm)

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
Wcases
A list object containing N x 1 multiple membership (MM) weight matrices; one for each MM term.
Mmats
A list object containing S[i] x G[i] matrices, where S[i] are the number of effects for MM term i and G[i] is the number of (unique) groups for the S[i] effects. The length of this list is equal to the number of terms under prior option set to "mmigrp"
Omegas
A list object containing S[i] x S[i] unnormalized adjacency matrices for MM term i, each with entries equal to 1 where two effects communicate and 0, otherwise. Diagonal elements are zero. The length of this list is equal to the number terms with prior option set to "mmcar"
omegapluses
A list object containing S x 1 vector of row sums of Omega[[i]]. The length of omegaplus should equal Omega.
ngs
A numeric vector containing the number of total groups for each MM term under prior option "mmcar".
subjects
An N x 1 set of subject identifiers.
typet
A numeric vector of length equal to the number of MM terms, where each entry specifies the prior formulation for that effect term (block). Prior formulation options are 1 = "mmcar", 2 = "mmi", 3 = "mmigrp", 4 = "mmdp".
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 $\Gamma$ prior on the DP concentration parameter. The rate parameter is set of 1.
ratebeta
The rate parameter for the $\Gamma$ prior on the DP concentration parameter. Default value is 1.
strength.mm
The shape and rate parameters for the $\Gamma$ prior on the CAR precision parameter, $\tau_{\gamma}$

Value

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

See Also

dpgrowmm