hdMTD (version 0.1.1)

testChains: MTD samples for tests

Description

A tibble with chains perfectly sampled from a MTD model. Each chain was sampled from the same MTD model. Hence the differences between the samples are due to randomness within the perfect sample algorithm.

Usage

testChains

Format

A tibble with 3000 rows and 3 perfectly sampled chains.

testChain1

perfectSample1,N=3000

testChain2

perfectSample2,N=3000

testChain3

perfectSample3,N=3000

Details

The MTD model from which the chains were sampled was created as follows:

set.seed(1)

pj <- list("p-1"=matrix(c(0.1,0.1,0.8,0.4,0.4,0.2,0.5,0.3,0.2), byrow = T,ncol = 3),

"p-30"=matrix(c(0.05,0.2,0.75,0.4,0.4,0.2,0.3,0.3,0.4), byrow = T,ncol = 3))

MTDseed1 <- MTDmodel(Lambda=c(1,30),A=c(1,2,3),lam0=0.05, lamj = c(0.35,0.6),pj=pj)

testChain1 <- perfectSample(MTDseed1,3000)

testChain2 <- perfectSample(MTDseed1,3000)

testChain3 <- perfectSample(MTDseed1,3000)

testChains <- dplyr::as_tibble(cbind(testChain1,testChain2,testChain3))

Examples

data(testChains)