HPWmap | R Documentation |
Pointwise (PW) probabilities and highest pointwise (HPW) probabilities of all differences of smooths at neighboring scales are computed.
HPWmap(smoothVec, mm, nn, prob = 0.95)
smoothVec |
Differences of smooths at neighboring scales. |
mm |
Number of rows of the original input image. |
nn |
Number of columns of the original input image. |
prob |
Credibility level for the posterior credibility analysis |
HPWmap
is an internal function of mrbsizeRgrid
and is usually
not used independently. The output can be analyzed with the plotting function
plot.HPWmapGrid
.
List with two arrays:
pw
: Pointwise probabilities (VmapPW
) including the dimensions
of the original input image, mm
and nn
.
hpw
: Highest pointwise probabilities (VmapHPW
) including
the dimensions of the original input image, 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
HPWmap(smoothVec = sampleData, mm = 5, nn = 2, prob = 0.95)
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