Minor revision with added functionality.
ordSelect, ordFusion
updated/extended to cumulative logit model models.ordCV added, provides cross-validation for
penalized regression models with ordinal predictors.StabilityCumu added, provides stability
selection for penalized cumulative logit models.Major revision with added functionality.
ordPCA added for nonlinear principal
components analysis for ordinal variables. Also, performance evaluation
and selection of an optimal penalty parameter provided.ordFusion added for fusion and selection of
dummy coefficients of ordinal predictors. Similar syntax as for
ordSmooth() and ordSelect(); generic functions
plot and predict work in the same manner.mgcv::gam() can be used for fitting generalized linear and
additive models with first- and second-order ordinal smoothing penalty
as well as built-in smoothing parameter selection. A new type of spline
basis for ordered factors s(..., bs = "ordinal")is
provided, such that smooth terms in the GAM formula can be used as an
alternative and extension to ordSmooth(). Additionally,
generic functions for prediction and plotting are provided. Also,
mgcv tools for further statistical inference can be
used.Two additional vignettes called ordPens and
ordPCA are supplied to give an overview and describe the
usage of the package.
Bug fixes
plot.ordPen(), arguments whichlam and
whichx are changed to whl and
whx, respectively.Minor revision with added functionality.
Function ordGene added, which provides testing for
differentially expressed genes.
Changed documentation of function ordAOV: argument
null.sample added, containing values already simulated from
the null distribution.
Fixed some minor bugs / cleaned up code.