Changes in version 5.1 (2017-07-03) - New function, subset_variants, which retains only variants with data bearing upon pathogenicity. - Return posterior mean of omega even when not explicitly sampled in summary.BeviMed_m. Changes in version 5.0 (2017-04-22) - bevimed_polytomous function added which enables application of BeviMed across multiple association models. - BeviMed objects now more general, representing results of inference with respect to the baseline model gamma = 0 and an arbitrary number of alternative association models - typically, one for each mode of inheritance. The $moi slot has been replaced with $models. - prob_pathogenic now returns a list when broken down by mode of inheritance/model. Changes in version 4.3 - Make BeviMed work smoothly when number of individuals or number of variants is 0. - Retain names of variants from columns of original allele count matrix. - Improvements to guide, with more detail on model selection. Changes in version 4.2 - Fixed bug in calculation of expected number of explaining variants by only including those with pathogenic configurations. Changes in version 4.0 (2017-03-01) - Previous bevimed function now replaced by bevimed_m, with the _m indicating that it conditions on mode of inheritance. - bevimed now integrates over indicator of association (gamma) and mode of inheritance (m), allowing user to specify priors on probability of association and probability of dominance. - The BeviMed class object has been replaced by BeviMed_m, and a new BeviMed class has been introduced for inference with respect to all models: gamma 0 and gamma 1 under each mode of inheritance. - A new vignette with more detail called BeviMed Guide which relates the package to the paper. - Names used for summary statistics in summary objects have changed, see function help pages for details on current names. - printing a BeviMed object now shows conditional probabilities of pathogenicity for each mode of inheritance, and expected explained cases and expected explaining variants shown too. - Bug fixed in adaptive tuning for omega and phi proposals. Changes in version 3.0 (2017-02-16) - Re-naming of parameters in bevimed function to match the names of variables in the paper (under submission). - The allele count matrix G should now be supplied as a matrix with rows corresponding to individuals, not variants. - expected_explained and explaining_variants functions have been added, respectively computing the expected number of cases with their disease explained by the given variants, and expected number of pathogenic variants present amongst cases.