bestNormalize 1.4.2

• Update citation to point to newly published work.
• Update maintainer email to new address (same person, new affiliation).

bestNormalize 1.4.1

• Correctly subtract 1/2 from ranks in ORQ transformation to make quantile estimation unbiased (this was a bug in 1.3.0, as ranks start at 1, not zero). Divides by n instead of n+1.
• Specify the weights for the GLM in the ORQ transformation to be the number of observations. This doesn’t change the transformation but seems to have a bit faster computational speed, and it’s more mathematically tractable.
• Other various bug fixes to tests and to plotting functions.

bestNormalize 1.3.0

• Add 1/2 to ranks in ORQ transformation to make quantile estimation unbiased (should have minimal impact)
• Add option loo for leave-one-out cross-validation
• Add progress bar for cross-validation methods (both with/without parallel)
• Add “no_transform” function - does the same thing as I(x) but in the syntax of other transformations (this allows the normalization statistics to also be calculated if no transformation is performed).
• Add support for lambert transforms of type “h” in the bestNormalize function via allow_lambert_h argument.
• Add “before standardization” to printout of different transforms’ means and sds to clarify output

bestNormalize 1.2.0

• Added other transformations commonly used to normalize a vector
  • exponential, log, square root, arcsinh
• Lambert WxF is no longer done by default by bestNormalize since it is unstable on certain OS (Linux, Solaris), and does not abide by the CRAN policy.

bestNormalize 1.1.0

• Clarified that the transformations are standardized by default, and providing option to not standardize in transformations
• Updated tests to run a bit faster and to use proper S3 classes

bestNormalize 1.0.1

• Added references for original papers (Van der Waerden, Bartlett) that cite the basis for the orderNorm transformation, as well as discussion in Beasley (2009)
• Edited description to clarify that this procedure is a new adaptation of an older technique rather than a new technique in itself

bestNormalize 1.0.0

• Added feature to estimate out-of-sample normality statistics in bestNormalize instead of in-sample ones via repeated cross-validation
  • Note: set out_of_sample = FALSE to maintain backward-compatibility with prior versions and set allow_orderNorm = FALSE as well so that it isn’t automatically selected
• Improved extrapolation of the ORQ (orderNorm) method
  • Instead of linear extrapolation, it uses binomial (logit-link) model on ranks
  • No more issues with Cauchy transformation

• Added plotting feature for transformation objects

• Cleared up some documentation

bestNormalize 0.2.2

• Changed the name of the orderNorm technique to “Ordered Quantile normalization”.

bestNormalize 0.2.1

• Made description more clear in response to comments from CRAN

bestNormalize 0.2.0

First submission to CRAN