Packaged: 2019-05-06 17:51:47 UTC; Kevin Coombes

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

Title: Principal Component Gene Set Enrichment
Description: Contains logic for computing the statistical association of variable groups, i.e., gene sets, with respect to the principal components of genomic data.

Depends: R (>= 2.15.0), safe (>= 3.0.0), RMTstat, MASS

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

Title: Implementation of POSIXct work-alike for 365 and 360 day
Author: David Bronaugh <bronaugh@uvic.ca> for the Pacific Climate
Description: This package implements a work-alike to R's POSIXct class
whichimplements 360- and 365-day calendars in addition to the

which implements 360- and 365-day calendars in addition to the

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

Impacts Consortium (PCIC); portions based on code written by
Depends: R (>= 2.12.0), methods, graphics, RUnit

Title: Implementation of POSIXct Work-Alike for 365 and 360 Day
Depends: R (>= 2.12.0), methods, graphics
Description: Provides a work-alike to R's POSIXct class which implements
360- and 365-day calendars in addition to the gregorian calendar.

Title: PCIT algorithm - Partial Correlation Coefficient with
Maintainer: Nathan S. Watson-Haigh <nathan.watson-haigh@csiro.au>
Description: 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.

The PCIT algorithm identifies meaningful correlations to define
edges in a weighted network. The algorithm can be applied to
any correlation-based network including but not limited to gene