Nonparametric aligned rank tests for interaction in two-way factorial designs, on data set with repeated measures in 'wide' format. There is a choice between 0) CHECK for alignment 1) Aligned REGULAR 2) FRIEDMAN 3) KOCH ranks.

Returns nonparametric aligned rank tests for the interaction in two-way factorial designs, on R data sets with repeated measures in 'wide' format. Five ANOVAs tables are reported. A PARAMETRIC one on the original data, one for a CHECK upon the interaction alignments, and three aligned rank tests: one on the aligned REGULAR, one on the FRIEDMAN, and one on the KOCH ranks. In these rank tests, only the resulting values for the interaction are relevant.

Kernel-Based Nonparametric ROC Regression Modelling
c(
person("Maria Xose Rodriguez-Alvarez",
email = "mxrodriguez@uvigo.es", role = c("aut", "cre")),
person("Javier Roca-Pardinas", role = "aut"))
Maria Xose Rodriguez-Alvarez [aut, cre],
Javier Roca-Pardinas [aut]
Implements several nonparametric regression approaches for the inclusion of covariate information on the receiver operating characteristic (ROC) framework.

c(
person("Maria Xose Rodriguez-Alvarez",
email = "mxrodriguez@bcamath.org", role = c("aut", "cre")),
person("Javier Roca-Pardinas", role = "aut"))

This package provides a variety of nonparametric (and
semiparametric) kernel methods that seamlessly handle a mix of
continuous, unordered, and ordered factor data types. This
package incorporates the Rmpi package (Hao Yu
<hyu@stats.uwo.ca>) with minor modifications and we are
extremely grateful to Hao Yu for his contributions to the R
community. We would like to gratefully acknowledge support from
the Natural Sciences and Engineering Research Council of Canada
(NSERC:www.nserc.ca), the Social Sciences and Humanities
Research Council of Canada (SSHRC:www.sshrc.ca), and the Shared
Hierarchical Academic Research Computing Network
(SHARCNET:www.sharcnet.ca).

Parallel nonparametric kernel smoothing methods for mixed data
types
This package provides a variety of nonparametric (and
semiparametric) kernel methods that seamlessly handle a mix of
continuous, unordered, and ordered factor data types. This
package is a parallel implementation of the np package based on
the MPI specification that incorporates the Rmpi package (Hao
Yu <hyu@stats.uwo.ca>) with minor modifications and we are
extremely grateful to Hao Yu for his contributions to the R
community. We would like to gratefully acknowledge support from
the Natural Sciences and Engineering Research Council of Canada
(NSERC:www.nserc.ca), the Social Sciences and Humanities
Research Council of Canada (SSHRC:www.sshrc.ca), and the Shared
Hierarchical Academic Research Computing Network
(SHARCNET:www.sharcnet.ca).