devG: a wrapper for analyticSolve that allows it to be called from...

In ClaireKelley/WeMix: Weighted Mixed-Effects Models using Multilevel Pseudo Maximum Likelihood Estimation

Description

a wrapper for analyticSolve that allows it to be called from an optimizer. Takes the same arguments as analyticSolve.

a wrapper for analyticSolve that allows it to be called from an optimizer. Takes the same arguments as analyticSolve.

Usage

devG(y, X, Zlist, Zlevels, weights, weightsC = weights, groupID,
  lmeVarDF)

devG(y, X, Zlist, Zlevels, weights, weightsC = weights, groupID,
  lmeVarDF)

Arguments

y	outcome measure.
X	the X matrix.
Zlist,	a list of matrixes with the Z values for each level.
Zlevels,	the level corresponding to each matrix in Zlist.
weights	level-1 weights
weightsC	a list of conditional weights for each model level.
groupID	a matrix containing the group ids for each level in the model.
weights	a list of unconditional weights for each model level.
lmeVardf	a dataframe containing the variances and covariance of the random effects, in the same format as returned from lme.
weights	level-1 weights
y	outcome measure.
X	the X matrix.
Zlist,	a list of matrixes with the Z values for each level.
Zlevels,	the level corresponding to each matrix in Zlist.
weights	a list of unconditional weights for each model level.
weightsC	a list of conditional weights for each model level.
groupID	a matrix containing the group ids for each level in the model.
lmeVardf	a dataframe containing the variances and covariance of the random effects, in the same format as returned from lme.

ClaireKelley/WeMix documentation built on May 21, 2019, 6:46 a.m.