nparLD : An R Software Package for the Nonparametric Analysis of Longitudinal Data in Factorial Experiments

Longitudinal data from factorial experiments frequently arise in various fields of study, ranging from medicine and biology to public policy and sociology. In most practical situations, the distribution of observed data is unknown and there may exist a number of atypical measurements and outliers. Hence, use of parametric and semi-parametric procedures that impose restrictive distributional assumptions on observed longitudinal samples becomes questionable. This, in turn, has led to a substantial demand for statistical procedures that enable us to accurately and reliably analyze longitudinal measurements in factorial experiments with minimal conditions on available data, and robust nonparametric methodology…

• DA
  Deutscher Akademischer Austauschdienst
• DF
  Deutsche Forschungsgemeinschaft
• NS
  Natural Sciences and Engineering Research Council of Canada