Other packages > Find by keyword >

iCARH  

Integrative Conditional Autoregressive Horseshoe Model
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("iCARH", "2.0.2.1")



Attach the package and use:
library("iCARH")
Maintained by
Takoua Jendoubi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-06-04
Latest Update: 2020-08-27
Description:
Implements the integrative conditional autoregressive horseshoe model discussed in Jendoubi, T., Ebbels, T.M. Integrative analysis of time course metabolic data and biomarker discovery. BMC Bioinformatics 21, 11 (2020) . The model consists in three levels: Metabolic pathways level modeling interdependencies between variables via a conditional auto-regressive (CAR) component, integrative analysis level to identify potential associations between heterogeneous omic variables via a Horseshoe prior and experimental design level to capture experimental design conditions through a mixed-effects model. The package also provides functions to simulate data from the model, construct pathway matrices, post process and plot model parameters.
How to cite:
Takoua Jendoubi (2019). iCARH: Integrative Conditional Autoregressive Horseshoe Model. R package version 2.0.2.1, https://cran.r-project.org/web/packages/iCARH. Accessed 02 Nov. 2026.
Previous versions and publish date:
(2026-07-09 07:48), 1.0.0 (2019-06-04 13:50), 2.0.0 (2019-07-11 23:43), 2.0.1.1 (2020-01-14 07:00), 2.0.1 (2019-12-06 12:10), 2.0.2.0 (2020-06-16 16:10), 2.0.2.1 (2020-08-27 09:50)
Other packages that cited iCARH R package
View iCARH citation profile
Other R packages that iCARH depends, imports, suggests or enhances
Complete documentation for iCARH
Functions, R codes and Examples using the iCARH R package
Some associated functions: iCARH.getBeta . iCARH.getPathwaysMat . iCARH.model . iCARH.params . iCARH.plotBeta . iCARH.simulate . 
Some associated R codes: helpers.R . iCARH.model.R . iCARH.parameters.R . iCARH.simulate.R . pathways.R . postprocessing.R . summary-method.R .  Full iCARH package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

VFP  
Variance Function Program
Variance function estimation for models proposed by W. Sadler in his variance function program ('VF ...
Download / Learn more Package Citations See dependency  
palaeoverse  
Prepare and Explore Data for Palaeobiological Analyses
Provides functionality to support data preparation and exploration for palaeobiological analyses, i ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
aws.translate  
Client for 'AWS Translate'
A client for 'AWS Translate' , a machine translation ...
Download / Learn more Package Citations See dependency  
SemiEstimate  
Solve Semi-Parametric Estimation by Implicit Profiling
Semi-parametric estimation problem can be solved by two-step Newton-Raphson iteration. The implicit ...
Download / Learn more Package Citations See dependency  
EDOtrans  
Euclidean Distance-Optimized Data Transformation
A data transformation method which takes into account the special property of scale non-invariance w ...
Download / Learn more Package Citations See dependency  

29,315

R Packages

247,686

Dependencies

77,531

Author Associations

29,316

Publication Badges

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