EW_Fi_MLM_func {ForLion} | R Documentation |
function to generate the expected fisher information at one design point xi for multinomial logit models
Description
function to generate the expected fisher information at one design point xi for multinomial logit models
Usage
EW_Fi_MLM_func(X_x, bvec_matrix, link = "continuation")
Arguments
X_x |
model matrix for a specific design point x_i, X_x=h.func(xi) |
bvec_matrix |
the matrix of the sampled parameter values of beta |
link |
multinomial logit model link function name "baseline", "cumulative", "adjacent", or"continuation", default to be "continuation" |
Value
F_x The expected Fisher information matrix at x_i
EU_x E(U) matrix for calculation the expected of Fisher information matrix at x_i
Examples
link.temp = "continuation"
xi.temp=c(80)
hfunc.temp = function(y){
matrix(data=c(1,y,y*y,0,0,0,0,0,1,y,0,0,0,0,0), nrow=3, ncol=5, byrow=TRUE)
}
X_xtemp=hfunc.temp(xi.temp)
bvec_bootstrap<-matrix(c(-0.2401, -1.9292, -2.7851, -1.614,-1.162,
-0.0535, -0.0274, -0.0096,-0.0291, -0.04,
0.0004, 0.0003, 0.0002, 0.0003, 0.1,
-9.2154, -9.7576, -9.6818, -8.5139, -8.56),nrow=4,byrow=TRUE)
EW_Fi_MLM_func(X_x=X_xtemp, bvec_matrix=bvec_bootstrap, link=link.temp)
[Package ForLion version 0.3.0 Index]