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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.

Maintainer: Takoua Jendoubi
Author(s): Takoua Jendoubi [aut, cre], Timothy M.D. Ebbels [aut]

License: GPL (>= 3)

Uses: abind, ggplot2, igraph, MASS, Matrix, mc2d, RCurl, reshape2, rstan, knitr, rmarkdown

Released 3 months ago.

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