CRAN/E | CJAMP

CJAMP

Copula-Based Joint Analysis of Multiple Phenotypes

Installation

About

We provide a computationally efficient and robust implementation of the recently proposed C-JAMP (Copula-based Joint Analysis of Multiple Phenotypes) method (Konigorski et al., 2019, submitted). C-JAMP allows estimating and testing the association of one or multiple predictors on multiple outcomes in a joint model, and is implemented here with a focus on large-scale genome-wide association studies with two phenotypes. The use of copula functions allows modeling a wide range of multivariate dependencies between the phenotypes, and previous results are supporting that C-JAMP can increase the power of association studies to identify associated genetic variants in comparison to existing methods (Konigorski, Yilmaz, Pischon, 2016, doi:10.1186/s12919-016-0045-6; Konigorski, Yilmaz, Bull, 2014, doi:10.1186/1753-6561-8-S1-S72). In addition to the C-JAMP functions, functions are available to generate genetic and phenotypic data, to compute the minor allele frequency (MAF) of genetic markers, and to estimate the phenotypic variance explained by genetic markers.

Citation CJAMP citation info

Key Metrics

Version 0.1.1
Published 2019-03-20 1853 days ago
Needs compilation? no
License GPL-2
CRAN checks CJAMP results

Downloads

Yesterday 2
Last 7 days 16 -70%
Last 30 days 158 -4%
Last 90 days 723 +33%
Last 365 days 2.315 -18%

Maintainer

Maintainer

Stefan Konigorski

stefan.konigorski@gmail.com

Authors

Stefan Konigorski

aut / cre

Yildiz E. Yilmaz

ctb / ths

Material

Reference manual
Package source

Vignettes

C-JAMP: Copula-based Joint Analysis of Multiple Phenotypes

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

CJAMP archive

Imports

stats
optimx

Suggests

MASS
knitr
rmarkdown