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bkmr 0.2.0.9000

bkmr 0.2.0

Major changes

  • Added ability to have binomial outcome family by implementing probit regression within kmbayes()

  • Removed computation of the subject-specific effects h[i] within kmbayes(), as this is not always desired, and greatly slows down model fitting

    • This could still be done by setting the option est.h = TRUE in the kmbayes function

    • posterior samples of h[i] can now be obtained via the post-processing SamplePred function; alternatively, posterior summaries (mean, variance) can be obtained via the post-processing ComputePostmeanHnew function

  • Added ability to use exact estimates of the posterior mean and variance by specifying the argument method = 'exact' within the post-processing functions (e.g., OverallRiskSummaries(), PredictorResponseUnivar())

Bug fixes

  • Fixed PredictorResponseBivarLevels() when argument both_pairs = TRUE (#4)