nparLD: 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 assumptions on
distributions of parameters, 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.
| Version: |
1.3 |
| Depends: |
R (≥ 2.6.0), MASS |
| Published: |
2011-02-14 |
| Author: |
Kimihiro Noguchi, Mahbub Latif, Karthinathan Thangavelu,
Frank Konietschke, Yulia R. Gel, Edgar Brunner |
| Maintainer: |
Kimihiro Noguchi <knoguchi at wald.ucdavis.edu> |
| License: |
GPL (≥ 2) |
| CRAN checks: |
nparLD results |
Downloads: