Integrative Conditional Autoregressive Horseshoe Model

Implements the integrative conditional autoregressive horseshoe model discussed in Jendoubi, T., & Ebbels, T. (2018). "Integrative analysis of time course metabolic data and biomarker discovery". arXiv preprint . 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.


Reference manual

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install.packages("iCARH") by Takoua Jendoubi, 3 months ago

Browse source code at

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

Suggests knitr, rmarkdown

See at CRAN