Implements methods to automate the Auer-Gervini graphical
Bayesian approach for determining the number of significant
principal components. Automation uses clustering, change points, or
simple statistical models to distinguish "long" from "short" steps
in a graph showing the posterior number of components as a function
of a prior parameter.

Computation of Ancestry Scores with Mixed Families and Unrelated
Individuals
We provide several algorithms to compute the genotype ancestry scores (such as eigenvector projections) in the case where highly correlated individuals are involved.

Contains logic for computing the statistical association of variable groups, i.e., gene sets, with respect to the principal components of genomic data.

R (>= 2.15.0), safe (>= 3.0.0), RMTstat, MASS, methods

Implementation of POSIXct work-alike for 365 and 360 day
calendars.
David Bronaugh <bronaugh@uvic.ca> for the Pacific Climate
Impacts Consortium (PCIC)
This package implements a work-alike to R's POSIXct class
whichimplements 360- and 365-day calendars in addition to the
gregorian calendar.

This package implements a work-alike to R's POSIXct class
which implements 360- and 365-day calendars in addition to the
gregorian calendar.

David Bronaugh <bronaugh@uvic.ca> for the Pacific Climate Impacts Consortium (PCIC)
This package implements a work-alike to R's POSIXct class which implements 360- and 365-day calendars in addition to the gregorian calendar.

David Bronaugh <bronaugh@uvic.ca> for the Pacific Climate
Impacts Consortium (PCIC); portions based on code written by
the R-Core team and Ulrich Drepper.

Implementation of POSIXct Work-Alike for 365 and 360 Day
Calendars
Provides a work-alike to R's POSIXct class which implements
360- and 365-day calendars in addition to the gregorian calendar.

PCIT algorithm - Partial Correlation Coefficient with
Information Theory
This package provides the necessary functions for
performing the Partial Correlation coefficient with Information
Theory (PCIT) algorithm developed by Reverter and Chan (2008).
The PCIT algorithm identifies significant gene to gene
associations to define edges in a weighted network.