Other packages > Find by keyword >

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 Aug. 2026.
Previous versions and publish date:
0.1.0 (2018-04-24 12:00), (2026-07-09 07:59)
Other packages that cited CJAMP R package
View CJAMP citation profile
Other R packages that CJAMP depends, imports, suggests or enhances
Complete documentation for CJAMP
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

enrichwith  
Methods to Enrich R Objects with Extra Components
Provides the "enrich" method to enrich list-like R objects with new, relevant components. The curren ...
Download / Learn more Package Citations See dependency  
modelwordcloud  
Model Word Clouds
Makes a word cloud of text, sized by the frequency of the word, and colored either by user-specified ...
Download / Learn more Package Citations See dependency  
BayesESS  
Determining Effective Sample Size
Determines effective sample size of a parametric prior distribution in Bayesian models. For a web-b ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
bbricks  
Bayesian Methods and Graphical Model Structures for Statistical Modeling
A set of frequently used Bayesian parametric and nonparametric model structures, as well as a set of ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA