Packaged: 2019-03-13 01:06:54 UTC; Administrator

Packaged: 2019-03-14 14:08:45 UTC; Administrator

Packaged: 2019-03-14 23:00:33 UTC; Administrator

Packaged: 2019-05-03 18:07:10 UTC; Administrator

Packaged: 2019-05-19 20:40:11 UTC; Administrator

Title: MultiSV: A tool to identify Structural Variations in Multiple
Description: MultiSV A tool to identify CNVs in multiple populations. It fits
linear mixed model and identifies structural variations in multiple
populations using whole genome sequencing data.  It could also be
manipulated to use on RNA-seq data for differential gene expression

Title: MultiSV: an R package for identification of structural
variations in multiple populations based on whole genome
Description: MultiSV is an R package for identification of structural
variations in multiple populations based on whole genome resequencing. It
fits linear mixed model and identifies structural variations in multiple
populations using whole genome sequencing data. It could also be
(implementation in future releases). Main steps for analysis include
generating read depth in bins using ComputeBinCounts. conversion of bins to
MultiSV format using Bin2MultiSV. Finally, identification of structural

Title: Measures, Tests and Removes Multivariate Skewness
Description: Computes the third multivariate cumulant of either the raw, centered or standardized data. Computes the main measures of multivariate skewness, together with their bootstrap distributions. Finally, computes the least skewed linear projections of the data.

Authors@R: c(person("Gyorgy", "Terdik", role = "aut"),
person("Emanuele", "Taufer", role = c("aut", "cre"),
Imports: arrangements, primes, Matrix, MASS, stats
Description: Algorithms to build set partitions and commutator matrices and their use in the
construction of multivariate d-Hermite polynomials;  estimation and derivation of theoretical  vector moments and vector
cumulants  of multivariate distributions; conversion formulae for multivariate moments and cumulants. Applications to
estimation and derivation of multivariate measures of skewness and kurtosis;  estimation and derivation of asymptotic
covariances for d-variate Hermite polynomials, multivariate moments and cumulants and measures of skewness and kurtosis.
The formulae implemented are discussed in Terdik (2021, ISBN:9783030813925), "Multivariate Statistical Methods".
Packaged: 2022-08-22 15:23:03 UTC; emanuele.taufer