Skillings.Mack: The Skillings-Mack test Statistic for block designs with missing observations

The Skillings-Mack test statistic is a generalization of the statistic used in Friedman's ANOVA method and in Durbin's rank test. This nonparametric statistical test is useful for the data obtained from block designs with missing observations occurring randomly. The results from the SkiMack function are the Skillings-Mack statistic, p-values based on the chi-squared distribution and Monte Carlo method. The Monte Carlo method is recommended for approximating p-values when there are many ties and/or small designs with missing values are conducted.

Version: 1.0-2
Depends: R (≥ 3.0.1), MASS, matrixcalc, gtools
Published: 2014-05-16
Author: Patchanok Srisuradetchai, John J. Borkowski
Maintainer: Patchanok Srisuradetchai <s.patchanok at>
License: GPL-2
NeedsCompilation: no
CRAN checks: Skillings.Mack results


Reference manual: Skillings.Mack.pdf
Package source: Skillings.Mack_1.0-2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: Skillings.Mack_1.0-2.tgz, r-oldrel: Skillings.Mack_1.0-2.tgz
OS X Mavericks binaries: r-release: Skillings.Mack_1.0-2.tgz
Old sources: Skillings.Mack archive