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sanon (version 1.6)

Stratified Analysis with Nonparametric Covariable Adjustment

Description

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.

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Version

Install

install.packages('sanon')

Monthly Downloads

242

Version

1.6

License

GPL (>= 2)

Maintainer

Atsushi Kawaguchi

Last Published

May 27th, 2020

Functions in sanon (1.6)

grp

Identify Group Variables
resp

Respiratory Disorder Data
covar

Identify Covariables
coef.sanon

Extract Model Coefficients
contrast

Contrast for Model Parameters
catecovar

Identify Categorical Covariables
confint.sanon

Confidence Intervals for Model Parameters
cpain

Chronic Pain Data
sanon-package

The Stratified Analysis with Nonparametric covariable adjustment Package
heartburn

Relief of heartburn Data
summary.sanon

Summarizing Weighted Least Squares Fits
vcov.sanon

Calculate Variance-Covariance Matrix for a Fitted Model Object
strt

Identify Stratification Variables
sanon

Non-Parametric Covariable Adjustment for Stratified Rank Measures of Association
skin

Skin Condition Data
sebor

Seborrheic Dermatitis Data