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Subjects are partitioned\ninto subgroups defined by their pattern of platform\navailability, so that no subject with partially missing\nplatform data is excluded, and information is borrowed across\nsubgroups through a Markov random field prior on the\nvariable-selection indicators together with non-local (product\nmoment) priors on the regression effects. The methodology was\nintroduced for time-to-event outcomes by Chekouo, Stingo,\nDoecke and Do (2017) ; this package\nadditionally supports continuous (Gaussian) and binary (probit)\noutcomes. 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