mmmultPost: Bayesian mixed effects model with a DP prior on by-subject...
In growcurves: Bayesian Semi and Nonparametric Growth Curve Models that Additionally Include Multiple Membership Random Effects

Description Usage Arguments Value Note Author(s) See Also

An internal function to dpgrowmult

1 2	mmmultPost(y, X, Z, Wcases, Mmats, Omegas, omegapluses, ngs, subjects, typet, niter, nburn, nthin, shapealph, ratebeta, strength.mm)

`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 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`.
`strength.mm`	The shape and rate parameters for the Γ prior on the CAR precision parameter, τ_{γ}