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An updated implementation of R package 'ranger' by Wright et al, (2017) <doi:10.18637/jss.v077.i01> for training and predicting from random forests, particularly suited to high-dimensional data, and for embedding in 'Multiple Imputation by Chained Equations' (MICE) by van Buuren (2007) <doi:10.1177/0962280206074463>. Ensembles of classification and regression trees are currently supported. Sparse data of class 'dgCMatrix' (R package 'Matrix') can be directly analyzed. Conventional bagged predictions are available alongside an efficient prediction for MICE via the algorithm proposed by Doove et al (2014) <doi:10.1016/j.csda.2013.10.025>. Survival and probability forests are not supported in the update, nor is data of class 'gwaa.data' (R package 'GenABEL'); use the original 'ranger' package for these analyses.
Version: | 0.1.1 |
Depends: | R (≥ 3.6.0) |
Imports: | stats |
LinkingTo: | cpp11 (≥ 0.4.7), Rcereal (≥ 1.3.2) |
Suggests: | Matrix (≥ 1.5.3), testthat (≥ 3.0.0), tibble (≥ 3.2.1) |
Published: | 2024-09-22 |
DOI: | 10.32614/CRAN.package.literanger |
Author: | Stephen Wade [aut, cre], Marvin N Wright [ctb] |
Maintainer: | Stephen Wade <stephematician at gmail.com> |
BugReports: | https://gitlab.com/stephematician/literanger/-/issues |
License: | GPL-3 |
URL: | https://gitlab.com/stephematician/literanger |
NeedsCompilation: | yes |
Materials: | README NEWS |
CRAN checks: | literanger results |
Reference manual: | literanger.pdf |
Package source: | literanger_0.1.1.tar.gz |
Windows binaries: | r-devel: literanger_0.1.1.zip, r-release: literanger_0.1.1.zip, r-oldrel: literanger_0.1.1.zip |
macOS binaries: | r-release (arm64): literanger_0.1.1.tgz, r-oldrel (arm64): literanger_0.1.1.tgz, r-release (x86_64): literanger_0.1.1.tgz, r-oldrel (x86_64): literanger_0.1.1.tgz |
Old sources: | literanger archive |
Please use the canonical form https://CRAN.R-project.org/package=literanger to link to this page.
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.