aveThetas2: Computes the AVE, DWAVE, WAVE, CH-EXP and CH-ECDF methods for...

In kflorios/CHmGLMM: Pairwise likelihood methods for multivariate GLMM using CLIC Heuristic methods

Description

It acts on the Models structure for all pairs of items and returns the estimates for the m-GLMM parameters with 5 different methods

Usage

aveThetas2(Models, ModelsOne, Data, GHk = 5, n, Q, extraParam, extraParamOne,
  m = 1)

Arguments

Models	A list which contains the lme4 model objects taken from the pairwise separate estimations (list of size Q*(Q-1)/2)
ModelsOne	A list which contains the lme4 model objects taken from the univariate separate estimations (list of size Q)
Data	a data.frame with the data. 1st column id, 2nd column time, remaining Q columns are the y 0/1 values (Q items)
GHk	Number of Gauss-Hermite points per dimension of integration
n	number of individuals
Q	the number of items. Set this to four.
extraParam	a helper list which depends on pairwise estimates
extraParamOne	a helper list which depends on univariate estimates
m	an integer which is useful for subsequent runs

Value

The estimated parameters of the model with methods AVE, DWAVE, WAVE, CH-EXP and CH-ECDF

kflorios/CHmGLMM documentation built on May 4, 2019, 7:42 p.m.