Learn R Programming

⚠️There's a newer version (2.2) of this package.Take me there.

CNVassoc (version 2.0.1)

Association analysis of CNV data

Description

This package carries out association analysis of common copy number variants in population-based studies. This package includes functions for analysing association under a series of study designs (case-control, cohort, etc), using several dependent variables (class status, censored data, counts) as response, adjusting for covariates and considering various inheritance models. It also includes functions for inferring copy number (CNV genotype calling). Various classes and methods for generic functions (print, summary, plot, anova, ... ) have been created to facilitate the analysis.

Copy Link

Version

Install

install.packages('CNVassoc')

Monthly Downloads

20

Version

2.0.1

License

GPL (>= 2)

Maintainer

Isaac Subirana

Last Published

September 19th, 2013

Functions in CNVassoc (2.0.1)

getPvalBH

Corrected p values using Benjamini & Hochberg approach
CNVassoc

Association analysis between a CNV and phenotype
getQualityScore

Computes a quality score for a CNV fit
simCNVdataCaseCon

Simulation of CNV in a case-control study design
cnv

CNV object
CNVtest

Testing association between a CNV and phenotype
fastCNVassoc

Fast association analysis between a CNV or imputed SNPs and phenotype for case-control and cohort GWA studies.
CNVassoc-internal

Internal CNVassoc functions
simCNVdataPois

Simulate Poisson data
getProbsRegions

Get posterior probabilities for blocks/regions
simCNVdataNorm

Simulation of CNV and quantitative traits
getProbs

Get posterior probabilities from an object of class 'cnv' or 'CGHcall'
plotSignal

plots the intensities of a CNV univariate signal data
simCNVdataBinary

Simulation of CNV and discrete traits
multiCNVassoc

Association between several CNVs and disease
simCNVdataWeibull

Simulate of CNV and a right censored Weibull distributed trait