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MetricsWeighted 1.0.3

Improvements

• logLoss() and deviance_poisson() are now less picky about predictions of 0 (or 1).

MetricsWeighted 1.0.2

Documentation

• Fix Latex problem in MacOS help files.
• Slight improvements in docu.

MetricsWeighted 1.0.1

Documentation

• Much more compact help files
• Using Latex in help files

MetricsWeighted 1.0.0

This release bumps the package to stable version 1.0.0.

Maintenance

• Reorganization of code
• Switch to package::function() notation

MetricsWeighted 0.5.5

Maintenance

• Use github workflows
• Add github pages
• Better README

Dependencies

• Removed {dplyr} from suggested packages.

MetricsWeighted 0.5.4

This is a maintainance update without any code change.

• Fixed problematic unit tests.
• Internal restructuring how package content is being generated.

MetricsWeighted 0.5.3

• Added unit tests
• Added option reference_mean to r_squared() functions. This allows clean out-of-sample applications.
• Added Murphy diagrams

MetricsWeighted 0.5.2

Maintainance release. rmarkdown is now an explicit “Suggested” package.

MetricsWeighted 0.5.1

New function

• weighted_cor to calculate weighted correlation between actual and observed values.

• prop_within to calculate weighted proportion of predictions within a tolerance around actual values.

Requirements

• Reduced minimal R version from 3.5 to 3.1.

Documentation

• Clarified that R-squared is calculated with respect to the null model calculated from the actual values.

MetricsWeighted 0.5.0

New functions

• Elementary scoring functions for expectiles and quantiles.

• multi_metric: A way to create a named list of performance measures parametrized by a parameter.

MetricsWeighted 0.4.0

New functions

Added the following convenience wrappers to r_squared.

• r_squared_poisson

• r_squared_gamma

• r_squared_bernoulli

MetricsWeighted 0.3.0

New function

Added function weighted_var to calculate variance weighted by sampling weights.

MetricsWeighted 0.2.0

• Improvement of documentation and examples.

• Better handling of Tweedie special cases.

• More strict error handling.

• Added median absolute error (and weighted_median, weighted_quantile)

MetricsWeighted 0.1.0

Initial release.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.