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 <1801.07767>.
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.1801.07767>