Nonparametric Analysis of Longitudinal Data in Factorial Experiments

The package "nparLD" is designed to perform nonparametric analysis of longitudinal data in factorial experiments. Longitudinal data are those which are collected from the same subjects over time, and they frequently arise in biological sciences. Nonparametric methods do not require distributional assumptions, and are applicable to a variety of data types (continuous, discrete, purely ordinal, and dichotomous). Such methods are also robust with respect to outliers and for small sample sizes.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


2.1 by Kimihiro Noguchi, 9 years ago

Browse source code at

Authors: Kimihiro Noguchi <[email protected]> , Mahbub Latif <[email protected]> , Karthinathan Thangavelu <[email protected]> , Frank Konietschke <[email protected]> , Yulia R. Gel <[email protected]> , Edgar Brunner <[email protected]>

Documentation:   PDF Manual  

GPL (>= 2) license

Depends on MASS

See at CRAN