IntegMultiReg 0.1.0

• First release of the integrative multi-regression (IMR) model of Chekouo et al. (2017), extended to continuous (Gaussian) and binary (probit) outcomes in addition to right-censored survival.
• imr() fits the model and returns an object of class "imr" with print(), summary(), coef(), plot() and predict() methods.
• cv_imr() evaluates predictive accuracy by repeated fold splits using the fitted MCMC samples (AUC, concordance index or mean squared error depending on the outcome type), and predict() predicts new subjects (routing each to its availability subgroup; platform_names defaults to the training order).
• plot() shows the inclusion-probability and MRF-interaction heatmaps and the log-posterior trace; plot_top_features() and plot_subgroup_sizes() add a ranked-biomarker bar chart and a subgroup-size bar chart.
• Ships a simulated example data set, simIMR, and a getting-started vignette.
• All native routines are registered, GSL errors no longer abort the R session, and the MCMC sampler is quiet by default (use verbose = TRUE for progress).
• The sampler’s seed defaults to NULL and is then drawn from R’s RNG, so runs follow set.seed() like other modelling functions.