LearnBayes: blinregexpected – R documentation

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blinregexpected

Simulates values of expected response for linear regression model

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

Functions for Learning Bayesian Inference

v2.15.1

GPL (>= 2)

Authors