densityratio 0.2.2

• update plot_bivariate() to depend on ggh4x to remove empty panels, instead
  of a grob (such that it remains a ggplot) object
• update link in readme

densityratio 0.2.1

• patch test files to work with the new upcoming ggplot release
• update link readme

densityratio 0.2.0

• Initial CRAN submission.

densityratio 0.2.0

• First CRAN release of the densityratio package.
• Estimation methods kliep(), kmm(), lhss(), naive(), spectral(),
  ulsif().
• Cross-validation for all methods incorporated (except naive).
• S3 methods predict(), plot(), print() and summary() incorporated.
• Extensive checks for input data and parameters.
• Test files for all methods.
• Added a NEWS.md file to track changes to the package.

What's Changed

• Typo fixed in readme by @gerkovink in #24

New Contributors

• @gerkovink made their first contribution in #24

Full Changelog: v0.0.1...v0.2.0

v0.0.1 Let's get it started

What's Changed

• Plot function by @CarlosPoses in #8
• Spectral density ratio estimation (Izbicki, Lee & Schafer, 2014), implemented in 88ae44a.
• Faster distance function f4b0690
• Simplify naive density ratio estimation and allow for linear dependencies, remove naive subspace density ratio estimation 35b5fca
• Scale data space 56d855c
• Furthermore some small bug fixes, typos and changes in documentation.

New Contributors

• @CarlosPoses made their first contribution in #8

Full Changelog: v0.0.1-alpha.1...v0.0.1

Making zenodo work

v0.0.1-alpha.1

Update summary print with homogeneity test suggestion

First experimental release

This release contains the first implementation of density ratio estimation using ulsif() (unconstrained least-squares importance fitting) and kliep() (Kullback-Leibler importance estimation procedure), both with automatic model selection and predict and print functions. Additionally, it implements a hypothesis test to formally assess the discrepancy between the two data distributions.