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GLMMMCMCdata

Data manipulation for the GLMM_MCMC function


Description

This is a help function for GLMM_MCMC function.

THIS FUNCTION IS NOT TO BE CALLED BY ORDINARY USERS.

Usage

GLMM_MCMCdata(y, dist, id, time, x, z, random.intercept)

Arguments

y

see GLMM_MCMC function.

dist

see GLMM_MCMC function.

id

see GLMM_MCMC function.

time

see GLMM_longitDA function.

x

see GLMM_MCMC function.

z

see GLMM_MCMC function.

random.intercept

see GLMM_MCMC function.

Value

A list with the following components:

y

worked out value of y

dist

worked out value of dist

id

worked out value of id

time

worked out value of time

x

worked out value of x

z

worked out value of z

random.intercept

worked out value of random.intercept

R

number of response variables

Rc

number of continuous response variables

Rd

number of discrete response variables

ndist

numerical counterpart of 'dist' argument

xempty

logical vector of length R

zempty

logical vector of length R

p

numeric vector of length R

q

numeric vector of length R

fixed.intercept

logical vector of length R

CrandomIntcpt

numerical counterpart of random.intercept

CfixedIntcpt

numerical counterpart of fixed.intercept

dimb

dimension of random effects (random intercepts included)

LTb

length of lower triangle of matrix dimb x dimb

naamLTb

names (indices) for elements of a lower triangle of matrix dimb x dimb

lalpha

length of alpha vector (fixed intercepts included)

p_fi

numeric vector of length R

q_ri

numeric vector of length R

name.response

character vector

Author(s)

See Also


mixAK

Multivariate Normal Mixture Models and Mixtures of Generalized Linear Mixed Models Including Model Based Clustering

v5.3
GPL (>= 3)
Authors
Arnošt Komárek <arnost.komarek@mff.cuni.cz>
Initial release
2020-06-02

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