bitgama: Shifted Binomial distribution with covariates

Description Usage Arguments Value See Also Examples

View source: R/bitgama.R

Description

Return the shifted Binomial probabilities of ordinal responses where the feeling component is explained by covariates via a logistic link.

Usage

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bitgama(m,ordinal,W,gama)

Arguments

m

Number of ordinal categories

ordinal

Vector of ordinal responses

W

Matrix of covariates for the feeling component

gama

Vector of parameters for the feeling component, with length equal to NCOL(W)+1 to account for an intercept term (first entry of gama)

Value

A vector of the same length as ordinal, where each entry is the shifted Binomial probability for the corresponding observation and feeling value.

See Also

logis, probcub0q, probcubpq

Examples

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n<-100
m<-7
W<-sample(c(0,1),n,replace=TRUE)
gama<-c(0.2,-0.2)
csivett<-logis(W,gama)
ordinal<-rbinom(n,m-1,csivett)+1
pr<-bitgama(m,ordinal,W,gama)

CUB documentation built on Feb. 9, 2018, 6:14 a.m.