Changes in version 0.2.0                        

  - Add support for scoring sample output types via
    transform_sample_model_out() and the "sample" case in
    score_model_out(). Marginal scoring produces metrics such as CRPS,
    bias, and DSS; compound scoring (via the new compound_taskid_set
    argument) produces multivariate scores such as energy score and
    variogram score for joint forecasts (#94).

  - score_model_out() now errors with a clear message when a scale
    transformation produces non-finite values (NaN or Inf), instead of
    silently returning invalid scores (#99).

                        Changes in version 0.1.0                        

  - Add transform, transform_append, and transform_label arguments to
    score_model_out() for computing scores on transformed scales (e.g.,
    log, sqrt). Supported for quantile, mean, and median output types
    (#48, #91).

                        Changes in version 0.0.1                        

  - Export functions transform_pmf_model_out(),
    transform_point_model_out(), and transform_quantile_model_out() used
    to transform hubverse model outputs into a scoringutils forecast
    object
  - Update package dependencies to use CRAN releases when available
  - Update README to include simple examples of package functions

                     Changes in version 0.0.0.9001                      

  - Add score_model_out() function for evaluating model outputs
  - Add tests to package
  - Update organisation name to hubverse-org

                     Changes in version 0.0.0.9000                      

  - Initial package dev setup.