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CJAMP  

Copula-Based Joint Analysis of Multiple Phenotypes
View on CRAN: Click here


Download and install CJAMP package within the R console
Install from CRAN:
install.packages("CJAMP")

Install from Github:
library("remotes")
install_github("cran/CJAMP")

Install by package version:
library("remotes")
install_version("CJAMP", "0.1.1")



Attach the package and use:
library("CJAMP")
Maintained by
Stefan Konigorski
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-04-24
Latest Update: 2019-03-20
Description:
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, ; Konigorski, Yilmaz, Bull, 2014, ). 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.
How to cite:
Stefan Konigorski (2018). CJAMP: Copula-Based Joint Analysis of Multiple Phenotypes. R package version 0.1.1, https://cran.r-project.org/web/packages/CJAMP. Accessed 07 Oct. 2026.
Previous versions and publish date:
0.1.0 (2018-04-24 12:00), (2026-07-09 07:59)
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Complete documentation for CJAMP
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