NEWS.md

In elo: Ranking Teams by Elo Rating and Comparable Methods

elo v3.0.2

• Fixed a CRAN comment about the package documentation.

elo v3.0.1

• The package title no longer begins with the word "Elo".

• Fixed one URL redirect

• Added a reference to the help page and vignette for elo.glm().

elo v3.0.0

Breaking changes:

• Restricted the version of R to >= 3.6.

• Changed the impact of the group() formula special in elo.run(). It now indicates when to update Elos. (#54)

• Removed elo.run2(), to be replaced by passing arguments to elo.run(). A message is issued when the R backend is used.

• The [.elo.k() (new) and [.elo.players.matrix() methods now drop any extra classes when j= is specified.

• Changed a warning to an error in final.elos() when using regressed=TRUE without regression after the last game.

• elo.glm(), elo.markovchain(), elo.winpct(), elo.colley() now emit NAs for running predictions on groups that haven't been seen yet. (#56)

Other changes:

• Added subset= argument to auc() and favored().

• Added ignore.skipped=FALSE argument to auc(), favored(), and mse() running methods.

• Added attributes to fitted.elo.running(..., running=TRUE) to indicate the group (i.e., model) from which the prediction arises.

• Added elo.run.multiteam() for when matchups consist of multiple teams. (#54)

• Improved documentation, including expanding from 1 to 3 vignettes

• Fixed a bug with the as.data.frame() method for elo.run() when players() are involved. (#55)

• Changed how tournament is created (though the data didn't actually change).

• Made some methods more explicit: length.elo.k(), is.na.elo.k(), [.elo.k(), is.na.elo.players.matrix()

• Made one fix for R-devel related to subsetting a vector with a classed object.

elo v2.1.1

• Fixed the "Date" in DESCRIPTION.

elo v2.1.0

• Added elo.colley(), with its corresponding helper functions.

• Allowed k() to take two arguments, to give differential updates to "team.A" and "team.B". This has one user-visible effect: as.data.frame.elo.run() now has one more column than it did before, and its column names have changed. (#45)

• Added elo.run2(), which allows for custom probabilities and updates, but by default returns the same as elo.run() (except more slowly). (#47)

• Added a pkgdown site: https://eheinzen.github.io/elo/

elo v2.0.0

New functions/functionality:

• Added the running=TRUE option to elo.glm(). This gives an object of class "elo.running", with corresponding methods for summary(), fitted(), predict(), mse(), auc(), and favored().

• Added weights= to elo.glm().

• Added support for adjust() in elo.glm() to include adjustments in the logistic regression.

• Added a new inline function neutral(), to denote neutral field in elo.glm() and elo.markovchain().

• Removed the rm.ties= argument from elo.glm(). Ties will have to be removed instead with subset= or before running the function altogether.

• Added elo.markovchain(), with corresponding methods for summary(), fitted(), predict(), mse(), auc(), and favored(). This also has the running=TRUE option.

• Added elo.winpct(), with corresponding methods for summary(), fitted(), predict(), mse(), auc(), and favored(). This also has the running=TRUE option.

• Added a function to denote margin of victory, for continuous modeling in elo.glm(), elo.markovchain(), and elo.winpct(): mov().

New helper methods:

• Added auc.elo.glm(). (#37)

• Made favored() S3 and added favored.elo.glm(). (#38)

• Made mse() S3 and added mse.elo.glm(). (#43)

• Added summary.elo.glm().

• Added predict.elo.glm().

• Added brier() as a synonym for mse().

• Added rank.teams().

Bug fixes:

• Fixed a bug with adding NAs back in to fitted values and residuals with na.exclude() in elo.glm() and elo.run(). (#39, #42)

• Fixed a bug with adjust() variables not getting subsetted correctly with na.action in model.frame(). (#40)

• Added is.na.elo.adjust() to test for NAs in the adjustment vector. (#41)

elo v1.1.0

• Widened the version dependency to R 3.3.0.

• Allowed players() matrices in elo.run() to find Elos of individual players playing at the same time.

• Added elo.glm(), a simple function to run logistic regressions on Elo setups.

• Fixed a bug in the favored() function (used in summary.elo.run()). (#29)

• Exported and revamped the class structure of the specials allowed in formulas. (#30)

• Allowed access to elo.model.frame() even when the package isn't loaded. (#34)

• Allowed regression to different values for each team. (#35)

elo v1.0.1

Smaller Changes

• Fixed a bug with initial Elos and deep copying in C++. (#25)

• Added an argument to regress() allowing users to stop regressing teams which have stopped playing. (#26)

elo v1.0.0

This version is not backwards compatible!

Major Changes:

• Changed the signatures of elo.calc() and elo.update() to match formula interface.

• Changed elo.calc(), elo.update(), and elo.prob() to S3 generics, and implemented formula methods. The default methods now include options to adjust Elos. (#3)

• elo.run():

  • elo.run() no longer accepts numeric values for team.A.

  • elo.run() now accepts special functions group() and regress(). If the latter is used, the class of the returned object becomes "elo.run.regressed". (#11, #12, #19, #22)

  • The $elos component of "elo.run" objects has been completely reworked, and now uses 1-based indexing. Because of this, the print.elo.run() method also had to be fixed. (#16)

• Renamed last() to final.elos() (#9).

• Changed tournament dataset.

Smaller Changes:

• The elo package now imports pROC::auc().

• elo.prob() now accepts vectors of team names (like elo.run()) as input. (#6)

• Documentation and the vignette have been updated.

New Functions:

• Implemented elo.model.frame(). The output is a data.frame with appropriately named columns.

• Implemented predict.elo.run() and predict.elo.run.regressed(). (#2, #19)

• Added is.score() to test for "score-ness".

• Implemented summary.elo.run(), along with helpers to calculate AUC and MSE (auc() and mse()). (#15)

elo 0.1.2

• Fixed a spelling error in DESCRIPTION.

elo 0.1.1

• Made the title more succinct.

• Elaborated the description of the package.

• Tweak the internal "elo.run" object.

• Tweaked the README and vignette.

elo 0.1.0

• Submit first version of elo to CRAN.

• Issues and code can be found on GitHub: https://github.com/eheinzen/elo/

elo documentation built on Aug. 23, 2023, 5:10 p.m.