diff --git a/DESCRIPTION b/DESCRIPTION index 35dcf8fa1b8b4c1fdfebe30ebd1ed99f96d378ba..3293cbebc60d11fe75414d5a9419a90b38b20b3d 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,6 +1,6 @@ Package: literanger Title: Random Forests for Multiple Imputation Based on 'ranger' -Version: 0.0.1 +Version: 0.0.2 Authors@R: c(person("Stephen", "Wade", email="stephematician@gmail.com", diff --git a/NEWS.md b/NEWS.md index ea0f170e72b3ebc21603520a7d5f5535a2dc0175..c378fc0cb79feb1f414d98f9d5fb5b8c54b61a82 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,4 +1,18 @@ -# literanger 0.0.1 +literanger NEWS +=============== + +# version 0.0.2 + +Performance enhancements +- Faster (correct) test for number of candidate values in node splitting. +- Remove lock on log gamma (beta splitting rule). + +Bug-fixes +- Fix container overrun and incorrect (unweighted) sampling without + replacement. + + +# version 0.0.1 This is the initial release of literanger, a refactoring and adaptation of the ranger package <https://github.com/imbs-hl/ranger> for random forests. The @@ -11,7 +25,6 @@ for missing data imputation in the presence of interaction effects. _Computational statistics & data analysis_, 72, 92-104. Currently supports: - - Classification and regression trees/forests. - Prediction types: - Conventional 'bagged' prediction (most frequent value or mean). diff --git a/R/literanger-package.R b/R/literanger-package.R index b532de522e89dbd43e39a8b03f99a2066c40d259..2756efd900891c0caa23e9e5558a8954ee1ab4e8 100644 --- a/R/literanger-package.R +++ b/R/literanger-package.R @@ -136,6 +136,8 @@ #' #' @references #' +#' - Breiman, L. (2001). Random forests. _Machine Learning_, 45, 5-32. +#' \doi{10.1023/A:1010933404324}. #' - Cieslak, D. A., Hoens, T. R., Chawla, N. V., & Kegelmeyer, W. P. (2012). #' Hellinger distance decision trees are robust and skew-insensitive. _Data #' Mining and Knowledge Discovery_, 24, 136-158. diff --git a/README.md b/README.md index bd16d53249a71f7f4fb8eadd3e07bcdc4610cd52..eb42c23632da764a39e3b5a17ab5ff70764a5d52 100644 --- a/README.md +++ b/README.md @@ -10,7 +10,7 @@ _Stephen Wade_ `literanger` is an adaption of the [`ranger`][ranger_cran] R package for training and predicting from random forest models within multiple imputation algorithms. `ranger` is a fast implementation of random forests -([Breiman, 2001][brieman2001_doi]) or recursive partitioning, particularly +([Breiman, 2001][breiman2001_doi]) or recursive partitioning, particularly suited for high dimensional data ([Wright et al, 2017][wright2017_doi]). `literanger` enables random forests to be embedded in the fully conditional specification framework for multiple imputation known as 'Multiple Imputation @@ -116,7 +116,7 @@ forests for high dimensional data in C++ and R. _Journal of Statistical Software_, 77(i01), pp. 1-17. [doi:10.18637/jss.v077.i01](https://doi.org/10.18637/jss.v077.i01). -[brieman2001_doi]: https://doi.org/10.1023/A:1010933404324 +[breiman2001_doi]: https://doi.org/10.1023/A:1010933404324 [doove2014_doi]: https://doi.org/10.1016/j.csda.2013.10.025 [vanbuuren2007_doi]: https://doi.org/10.1177/0962280206074463 [wright2017_doi]: https://doi.org/10.18637/jss.v077.i01 diff --git a/man/literanger-package.Rd b/man/literanger-package.Rd index f3d174bc6e386b3b4c4b6ac9e6814c4beff1a20c..2d2fa46edbbaeafe2953df02bd0832848bccca2f 100644 --- a/man/literanger-package.Rd +++ b/man/literanger-package.Rd @@ -112,6 +112,8 @@ http://www.imbs-luebeck.d \references{ \itemize{ +\item Breiman, L. (2001). Random forests. \emph{Machine Learning}, 45, 5-32. +\doi{10.1023/A:1010933404324}. \item Cieslak, D. A., Hoens, T. R., Chawla, N. V., & Kegelmeyer, W. P. (2012). Hellinger distance decision trees are robust and skew-insensitive. \emph{Data Mining and Knowledge Discovery}, 24, 136-158. @@ -139,6 +141,14 @@ variable selection for random survival forests using maximally selected rank statistics. \emph{Statistics in medicine}, 36(8), 1272-1284. \doi{10.1002/sim.7212}. } +} +\seealso{ +Useful links: +\itemize{ + \item \url{https://github.com/stephematician/literanger} + \item Report bugs at \url{https://github.com/stephematician/literanger/issues} +} + } \author{ Stephen Wade \href{mailto:stephematician@gmail.com}{stephematician@gmail.com}, Marvin N Wright (original