inv_GMI: Function to compute a vector of joint probabilities from a...

In hmmm: Hierarchical Multinomial Marginal Models

Function to compute a vector of joint probabilities from a vector of generalizedmarginal interactions (GMI)

Description

Given an hmmm model and the vector of its generalized interactions eta the vector of joint probabilities p is computed by inverting eta=C*ln(M*p)

Usage

inv_GMI(etpar, mod, start = NULL)

Arguments

etpar	vector of GMI
mod	hmmm model corresponding to etapar; an object of class hmmmod created by hmmm.model
start	starting values for log-liner parameters in the non linear equations problem

Value

vector of joint probabilities

Author(s)

Colombi R.

Examples

p4<-c(
0.0895, 0.0351 ,0.0004, 0.0003, 0.0352, 0.2775, 0.0619, 0.0004, 0.0004, 0.0620, 0.2775,
0.0351 ,0.0001,
0.0004, 0.0352 ,0.089)

marg<-marg.list(c("l-m","m-l","l-l"), mflag="m") 
labelrisp<-c("R1","R2")
modello<-hmmm.model(marg=marg,lev=c(4,4),names=labelrisp)
etpar<-GMI(c(p4),c("l-m","m-l","l-l"),c(4,4),labelrisp,mflag="m")
etpar$gmi
p4rec<-inv_GMI(etpar$gmi,modello)
P<-cbind(p4rec,c(p4),c(p4)-p4rec)
colnames(P)<-c("prob","prob from eta","check")
P

hmmm documentation built on May 29, 2024, 8:24 a.m.