Simultaneous credible intervals for all differences of smooths at neighboring scales \(z_{i}\) are computed.
CImap(smoothVec, mm, nn, prob = 0.95)
| smoothVec | Differences of smooths at neighboring scales. |
|---|---|
| mm | Number of rows of the original input object. |
| nn | Number of columns of the original input object. |
| prob | Credibility level for the posterior credibility analysis.
By default |
An array with simultaneous credible intervals VmapCI and
the dimensions of the original input object, mm and nn.
CImap is an internal function of mrbsizeRgrid and is usually
not used independently. The output can be analyzed with the plotting function
plot.CImapGrid.
# Artificial sample data: 10 observations (5-by-2 object), 10 samples set.seed(987) sampleData <- matrix(stats::rnorm(100), nrow = 10) sampleData [4:6, ] <- sampleData [4:6, ] + 5 # Calculation of the simultaneous credible intervals CImap(smoothVec = sampleData , mm = 5, nn = 2, prob = 0.95)#> [,1] [,2] #> [1,] 0.5 1.0 #> [2,] 0.5 0.5 #> [3,] 0.5 0.5 #> [4,] 1.0 0.5 #> [5,] 1.0 0.5