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 targets missing package anchors: estimateParCondCopula.Rd: VineCopula Please provide package anchors for all Rd targets not in the package itself and the base packages.

Adding a warning to

`CKT.kernel()`

when some estimated conditional Kendallâ€™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 Kendallâ€™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`

.

- Adding DOIs in the DESCRIPTION and small documentation fixes.

- Initial release