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) <doi:10.1186/s12859-019-3333-0>. 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.
Version: 2.0.2.1 Depends: rstan, MASS, stats, ggplot2, glue Imports: RCurl, KEGGgraph, igraph, reshape2, mc2d, abind, Matrix Suggests: knitr, rmarkdown Published: 2020-08-27 DOI: 10.32614/CRAN.package.iCARH Author: Takoua Jendoubi [aut, cre], Timothy M.D. Ebbels [aut] Maintainer: Takoua Jendoubi <t.jendoubi14 at imperial.ac.uk> License: GPL (≥ 3) NeedsCompilation: no In views: Omics CRAN checks: iCARH results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=iCARH to link to this page.
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