ggroups: an R package for pedigree and genetic groups data

The kinship2 R package for pedigree data.

BACKGROUND The kinship2 package is restructured from the previous kinship package. Existing features are now enhanced and new features added for handling pedigree objects. METHODS Pedigree plotting features have been updated to display features on complex pedigrees while adhering to pedigree plotting standards. Kinship matrices can now be calculated for the X chromosome. Other methods have be...

Wrapped: An R package for circular data

The Wrapped package computes the probability density function, cumulative distribution function, quantile function and also generates random samples for many univariate wrapped distributions. It also computes maximum likelihood estimates, standard errors, confidence intervals and measures of goodness of fit for nearly fifty univariate wrapped distributions. Numerical illustrations of the packag...

An Integrated Genetic Analysis Package Using R

KODAMA: an R package for knowledge discovery and data mining

Summary KODAMA, a novel learning algorithm for unsupervised feature extraction, is specifically designed for analysing noisy and high-dimensional datasets. Here we present an R package of the algorithm with additional functions that allow improved interpretation of high-dimensional data. The package requires no additional software and runs on all major platforms. Availability and Implementati...

An R package for analyzing and modeling ranking data

BACKGROUND In medical informatics, psychology, market research and many other fields, researchers often need to analyze and model ranking data. However, there is no statistical software that provides tools for the comprehensive analysis of ranking data. Here, we present pmr, an R package for analyzing and modeling ranking data with a bundle of tools. The pmr package enables descriptive statisti...