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The preferred way to install mrbsizeR from CRAN is:
You can install the mrbsizeR devel version from github with:
# Artificial sample data
set.seed(987)
sampleData <- matrix(stats::rnorm(100), nrow = 10)
sampleData[4:6, 6:8] <- sampleData[4:6, 6:8] + 5
# Generate samples from multivariate t-distribution
tSamp <- rmvtDCT(object = sampleData, lambda = 0.2, sigma = 6, nu0 = 15,
ns = 1000)
# mrbsizeRgrid analysis
mrbOut <- mrbsizeRgrid(posteriorFile = tSamp$sample, mm = 10, nn = 10,
lambdaSmoother = c(1, 1000), prob = 0.95)
# Posterior mean of the differences of smooths
plot(x = mrbOut$smMean, turn_out = TRUE)
# Credibility analysis using simultaneous credible intervals
plot(x = mrbOut$ciout, turn_out = TRUE)
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