Example data sets for association analysis of CNV data
This package contains example data sets with Copy Number Variants and imputed SNPs to be used by CNVassoc package.

pre-process DNA copy number (CN) data for detection of CN events
The package evaluates DNA copy number data, using both
their intitial form (copy number as a noisy function of genomic
position) and their approximation by a piecewise-constant
function (segmentation), for the purpose of identifying genomic
regions where the copy number differs from the norm.

Pre-process DNA Copy Number (CN) Data for Detection of CN Events
This package evaluates DNA copy number data, using both their initial form (copy number as a noisy function of genomic position) and their approximation by a piecewise-constant function (segmentation), for the purpose of identifying genomic regions where the copy number differs from the norm.

Pre-Process DNA Copy Number (CN) Data for Detection of CN Events
DNA copy number data evaluation using both their initial form
(copy number as a noisy function of genomic position) and their
approximation by a piecewise-constant function (segmentation),
for the purpose of identifying genomic regions where the copy number
differs from the norm.
R (>= 2.10), parallel, mclust, rlecuyer, stats

Fast Algorithms for Frequency-Preserving Null Models in Ecology
c(person("Constantinos", "Tsirogiannis", role = c("aut", "cre"),
email = "tsirogiannis.c@gmail.com"),
person("Adrija", "Kalvisa", role = "aut"))
Constantinos Tsirogiannis [aut, cre], Adrija Kalvisa [aut]
Efficient computations for null models that require shuffling columns on big matrix data.
This package provides functions for faster computation of diversity measure statistics
when independent random shuffling is applied to the columns of a given matrix.
Given a diversity measure f and a matrix M, the provided functions can generate random samples
(shuffled matrix rows of M), the mean and variance of f, and the p-values of this measure
for two different null models that involve independent random shuffling of the columns of M.
The package supports computations of alpha and beta diversity measures.
Rcpp (>= 0.12.9), ape, PhyloMeasures, Matrix