logisticpost {LearnBayes}R Documentation

Log posterior for a binary response model with a logistic link and a uniform prior

Description

Computes the log posterior density of (beta0, beta1) when yi are independent binomial(ni, pi) and logit(pi)=beta0+beta1*xi and a uniform prior is placed on (beta0, beta1)

Usage

logisticpost(beta,data)

Arguments

beta matrix of parameter values where each row represents a value of (beta0, beta1)
data matrix of columns of covariate values x, sample sizes n, and number of successes y

Value

vector of values of the log posterior where each value corresponds to each row of the parameters in beta

Author(s)

Jim Albert

Examples

x = c(-0.86,-0.3,-0.05,0.73)
n = c(5,5,5,5)
y = c(0,1,3,5)
data = cbind(x, n, y)
beta1=c(0,0)
beta2=c(2,10)
beta=rbind(beta1,beta2)
logisticpost(beta,data)

[Package LearnBayes version 1.0 Index]