NOTE
:
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Argument names have been shortened: functions taking arguments of the form
observedX1 =
are now simplified to X1 = ...
(which was already an interface present for some of the functions of the package).
Errors because of inputs of different lengths (for example computing some kind
of dependence between two vectors X1
and X2
of different lengths) are now
of the class DifferentLengthsError
. Their messages now explicitly give the
lengths of the different objects.
Function CKT.kernel
can now handle arguments X1
, X2
and Z
in the case
where these are matrices with 1 column.
Function simpA.kendallReg
can handle the case where only one regressor is given.
It also uses stats::lm.fit
for the unpenalized regression.
A typo in the Wald test statistic has been fixed.
Its output is an S3
object of class simpA_kendallReg_test
with print
, plot
, coef
, and vcov
methods.
Function CKT.kernel
has now more options to control the possible display of
the progress bar to show the progress of the computation.
New dependency: testthat
has been added to Suggests
.
New dependency: DiagrammeR
has been added to Suggests
(for nice plotting of the tree generated by bCond.treeCKT
).
This package was already suggested by data.tree
(which is imported).
Fix CRAN NOTE
:
Found the following Rd file(s) with Rd \link{} targets missing package anchors:
estimateParCondCopula.Rd: VineCopula
Please provide package anchors for all Rd \link{} targets not in the package itself and the base packages.
Adding a warning to CKT.kernel()
when some estimated conditional Kendall's
taus are NA
because of a too small bandwidth.
Fixing a bug for CKT.kernel()
when the conditioning variable is multivariate.
Adding and updating references for conditional copulas with discretized conditioning events.
Fix an error when running bCond.simpA.CKT()
.
Fix default value of the argument minSize
in bCond.treeCKT()
to be
minSize = minProb * nrow(XI)
as intended.
Functions CKT.kernel()
and CKT.estimate()
now warn and return numeric(0)
when the argument newZ
is numeric(0)
.
New dependence wdm
instead of pcaPP
for fast computation of Kendall's tau.
Functions CKT.kernel
, CKT.hCV.l1out
, CKT.hCV.Kfolds
and CKTmatrix.kernel
gain a new choice "wdm"
for the argument typeEstCKT
. This new choice allows
for faster computation using the package wdm
. For observations without ties,
it is equivalent to the previous choice typeEstCKT = 4
.