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iCARH
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]
[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 11 Jun. 2026.
Previous versions and publish date:
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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