Integrative Conditional Autoregressive Horseshoe Model

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.


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install.packages("iCARH")

2.0.2.0 by Takoua Jendoubi, 18 days ago


Browse source code at https://github.com/cran/iCARH


Authors: Takoua Jendoubi [aut, cre] , Timothy M.D. Ebbels [aut]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports RCurl, KEGGgraph, igraph, reshape2, mc2d, abind, Matrix

Depends on rstan, MASS, stats, ggplot2, glue

Suggests knitr, rmarkdown


See at CRAN