sanon: Stratified Analysis with Nonparametric Covariable Adjustment

There are several functions to implement the method for analysis in a randomized clinical trial with strata with following key features. A stratified Mann-Whitney estimator addresses the comparison between two randomized groups for a strictly ordinal response variable. The multivariate vector of such stratified Mann-Whitney estimators for multivariate response variables can be considered for one or more response variables such as in repeated measurements and these can have missing completely at random (MCAR) data. Non-parametric covariance adjustment is also considered with the minimal assumption of randomization. The p-value for hypothesis test and confidence interval are provided.

Version: 1.6
Depends: R (≥ 3.5)
Published: 2020-05-27
Author: Atsushi Kawaguchi
Maintainer: Atsushi Kawaguchi <kawa_a24 at yahoo.co.jp>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: sanon citation info
In views: MissingData
CRAN checks: sanon results

Documentation:

Reference manual: sanon.pdf

Downloads:

Package source: sanon_1.6.tar.gz
Windows binaries: r-devel: sanon_1.6.zip, r-release: sanon_1.6.zip, r-oldrel: sanon_1.6.zip
macOS binaries: r-release (arm64): sanon_1.6.tgz, r-release (x86_64): sanon_1.6.tgz, r-oldrel: sanon_1.6.tgz
Old sources: sanon archive

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