Multinomial Mixed Effects Models

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Documentation for package ‘mme’ version 0.1-6

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Code demos. Use demo() to run them.

Help Pages

mme-package	Multinomial Mixed Effects Models
addtolist	Add items from a list
addtomatrix	Add rows from a matrix
ci	Standard deviation and p-values of the estimated model parameters
data.mme	Function to generate matrices and the initial values
Fbetaf	Inverse of the Fisher information matrix of the fixed and random effects in Model 1
Fbetaf.ct	Inverse of the Fisher information matrix of fixed and random effects in Model 3
Fbetaf.it	The inverse of the Fisher information matrix of the fixed and random effects for Model 2
initial.values	Initial values for fitting algorithm to estimate the fixed and random effects and the variance components
mme	Multinomial Mixed Effects Models
mmedata	Create objects of class mmedata
model	Choose between the three models
modelfit1	Function used to fit Model 1
modelfit2	Function to fit Model 2
modelfit3	Function used to fit Model 3
mseb	Bias and MSE using parametric bootstrap
msef	Analytic MSE for Model 1
msef.ct	Analytic MSE for Model 3
msef.it	Analytic MSE for Model 2
omega	Model correlation matrix for Model 3
phi.direct	Variance components for Model 1
phi.direct.ct	Variance components for Model 3
phi.direct.it	Variance components for Model 2
phi.mult	Initial values for the variance components for Model 1
phi.mult.ct	Initial values for the variance components in Model 3
phi.mult.it	Initial values for the variance components in Model 2
print.mme	Print objects of class mme
prmu	Estimated mean and probabilities for Model 1
prmu.time	Estimated mean and probabilities for Model 2 and 3
simdata	Dataset for Model 1
simdata2	Dataset for Model 2
simdata3	Dataset for Model 3
sPhikf	Fisher information matrix and score vectors of the variance components for Model 1
sPhikf.ct	Fisher information matrix and score vectors of the variance components for Model 3
sPhikf.it	Fisher information matrix and score vectors of the variance components for Model 2
wmatrix	Model variance-covariance matrix of the multinomial mixed models