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stochtree Python 0.4.0

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@andrewherren andrewherren released this 06 Mar 18:57
python-0.4.0
3d5dd64
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New Features

  • Added support for ordinal outcome modeling through complementary log-log link function in the BART models (#196)
  • Added __str__, __repr__, summary, and extract_parameter methods in Python for the BARTModel and BCFModel classes (#298)
  • Added plotting utility function (plot_parameter_trace) in Python that operates on both the BARTModel and BCFModel classes (#298)
  • Added vignettes for summary / model inspection utilities in both R and Python (#298)
  • Added print methods in R and __str__ methods in Python for the forest container and random effects container objects (#298)
  • Updated R documentation to group related functions into topics (#302):
    • BARTSerialization
    • BCFSerialization
    • ForestSamplesSerialization
    • RandomEffectSamplesSerialization
    • DataPreprocessing
    • ForestKernelComputation
    • ForestStateManagement
    • RandomEffectStateManagement
  • Converted the following R function names from snake case to camel case (#302):
    • compute_bart_posterior_interval -> computeBARTPosteriorInterval
    • compute_bcf_posterior_interval -> computeBCFPosteriorInterval
    • compute_contrast_bart_model -> computeContrastBARTModel
    • compute_contrast_bcf_model -> computeContrastBCFModel
    • extract_parameter -> extractParameter
    • sample_bart_posterior_predictive -> sampleBARTPosteriorPredictive
    • sample_bcf_posterior_predictive -> sampleBCFPosteriorPredictive

Bug Fixes

  • Fixed status logging bugs for multi-chain R MCMC loops (#298)
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