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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]
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 11 Apr. 2025.
Previous versions and publish date:
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)
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
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