blinregexpected: Simulates values of expected response for linear regression...

In LearnBayes: Functions for Learning Bayesian Inference

Description

Simulates draws of the posterior distribution of an expected response for a linear regression model with a noninformative prior

Usage

blinregexpected(X1,theta.sample)

Arguments

X1	matrix where each row corresponds to a covariate set
theta.sample	list with components beta, matrix of simulated draws of regression vector, and sigma, vector of simulated draws of sampling error standard deviation

Value

matrix where a column corresponds to the simulated draws of the expected response for a given covariate set

Author(s)

Jim Albert

Examples

chirps=c(20,16.0,19.8,18.4,17.1,15.5,14.7,17.1,15.4,16.2,15,17.2,16,17,14.1)
temp=c(88.6,71.6,93.3,84.3,80.6,75.2,69.7,82,69.4,83.3,78.6,82.6,80.6,83.5,76.3)
X=cbind(1,chirps)
m=1000
theta.sample=blinreg(temp,X,m)
covset1=c(1,15)
covset2=c(1,20)
X1=rbind(covset1,covset2)
blinregexpected(X1,theta.sample)

LearnBayes documentation built on May 1, 2019, 7:03 p.m.