Description Usage Arguments Value References See Also Examples
This function is used in initial.values
to calculate the initial values for the variance
components in the multinomial mixed model with one independent random effect in each category
of the response variable (Model 1).
1 | phi.mult(beta.0, y, Xk, M)
|
beta.0 |
initial values for the fixed effects obtained in |
y |
matrix with the response variable obtained from |
Xk |
list of matrices with the auxiliary variables per category obtained from |
M |
vector with the sample size of the areas. |
phi.0 vector of inicial values for the variance components
Lopez-Vizcaino, ME, Lombardia, MJ and Morales, D (2013). Multinomial-based small area estimation of labour force indicators. Statistical Modelling, 13, 153-178.
data.mme
, initial.values
,
wmatrix
, prmu
,
Fbetaf
, phi.direct
,
sPhikf
, ci
,
modelfit1
, msef
,
mseb
.
1 2 3 4 5 6 7 8 9 10 11 12 | k=3 #number of categories of the response variable
pp=c(1,1) #vector with the number of auxiliary variables in each category
data(simdata) #data
mod=1 #type of model
datar=data.mme(simdata,k,pp,mod)
###beta values
beta.new=list()
beta.new[[1]]=matrix(c( 1.3,-1),2,1)
beta.new[[2]]=matrix(c( -1.6,1),2,1)
##Initial variance components
phi=phi.mult(beta.new,datar$y,datar$Xk,datar$n)
|
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