LearnBayes: logisticpost – R documentation

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logisticpost

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`	vector of parameter values beta0 and beta1
`data`	matrix of columns of covariate values x, sample sizes n, and number of successes y

Value

value of the log posterior

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)
beta=c(2,10)
logisticpost(beta,data)

LearnBayes

Functions for Learning Bayesian Inference

v2.15.1

GPL (>= 2)

Authors