CImap | R Documentation |
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 |
CImap
is an internal function of mrbsizeRgrid
and is usually
not used independently. The output can be analyzed with the plotting function
plot.CImapGrid
.
An array with simultaneous credible intervals VmapCI
and
the dimensions of the original input object, mm
and nn
.
# 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)
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