MonoClus()
: default value for distmethod
argument is now NULL
so that
the it can be set to Euclidean (when cir.var
is not set) or Gower distance
(when cir.var
is set).as_MonoClust()
function.ncores
argument is processed in perm.test()
and
cv.test()
. It did not have a problem before but the improvement helps remove
errors in Github Actions CI in Windows environment.\@fig
tags in the vignette is removed.as_MonoClust()
function.inertia_calc()
and medoid()
are now exported functions.is_MonoClust()
to check if an object is an inherited class of MonoClust
.as_MonoClust()
so other packages (such as PULS
) can
reuse print and plot functions. However, no implementation is done in this
package.plot.MonoClust()
allows the cols
argument to have the length greater
than the number of leaves. In that case, function will not throw error and
only a subset of it will be used.MonoClust.object
gains alt
object as an indicator of whether an alternate
route is available.bipartvar
column from frame
object of MonoClust object. var
column should be sufficient for showing splitting variable names.alt
column in frame
object of MonoClust is now a nested tibble containing
alternate split details. However, the package does not support specifying an
alternate splitting route so users may have to run step-by-step by indicating
nclusters = 2
in MonoClust()
and then on each branch.arctic_2019
data set. It was not used anywhere in the examples.MonoClust.object
to explain its structure.tibble()
is 3.0.0 because tibble::add_row()
is
used with the new behavior.ggpcp
and uses ggplot2.%cd+%
, %cd-%
(in degree), %cr+%
,
and %cr-%
(in radian).wind_sensit_2008
data set.MonoClust()
removed perm.test
and alpha
arguments. Users now need to run
perm.test()
separately to perform permutation test on a MonoClust.labels
, corders
, ran
from the output.Membership
and Dist
outputs of MonoClust()
are now membership
and
dist
, respectively.plot.MonoClust()
added uniform
, branch
, minbranch
, stats
,
cols.type
, and show.pval
.cv.test()
now returns unified output for both LOOCV and k-fold. It includes
MSE and SE table and a note with the type of cross-validation. abbrev
argument in plot.MonoClust()
and print.MonoClust()
now accepts
descriptive options "no"
, "short"
, "abbreviate"
.method
argument in perm.test()
now uses descriptive options "sw"
, "rl"
and "rn"
. Users can now decide whether to apply Bonferroni correction with
bon.adj
argument.predict.MonoClust()
removed na.action
. type
argument now accepts more
meaningful options "centroid"
or "medoids"
.perm.test()
and cv.test()
.foreach
when searching for the best split.NEWS.md
file to track changes to the package.Add the following code to your website.
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