Learn R Programming

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

CNVassoc (version 0.8-4)

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 generic functions (print, summary, plot, anova, ... ) have been created to facilitate the analysis.

Copy Link

Version

Install

install.packages('CNVassoc')

Monthly Downloads

20

Version

0.8-4

License

GPL (>= 2)

Maintainer

Juan Gonzalez

Last Published

June 11th, 2010

Functions in CNVassoc (0.8-4)

SNPTEST

Case-control data with SNPTEST format
simCNVdataWeibull

Simulate of CNV and a right censored Weibull distributed trait
simCNVdataNorm

Simulation of CNV and quantitative traits
NeveCalled

Breast Cancer aCGH data with CGHcall
cnv

CNV object
CNVassoc

Association analysis between a CNV and phenotype
simCNVdataBinary

Simulation of CNV and discrete traits
simCNVdataCaseCon

Simulation of CNV in a case-control study design
multiCNVassoc

Association between several CNVs and disease
getPvalBH

Corrected p values using Benjamini & Hochberg approach
simCNVdataPois

Simulate Poisson data
CNVassoc-internal

Internal CNVassoc functions
NeveRegions

Breast Cancer aCGH data with CGHcall
NeveData

Breast Cancer aCGH data
getProbs

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

MLPA data
plotSignal

plots the intensities of a CNV univariate signal data
A112

Copy Number Variant intensity data (from CNVtools)
getProbsRegions

Get posterior probabilities for blocks/regions
getQualityScore

Computes a quality score for a CNV fit
CNVtest

Testing association between a CNV and phenotype