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Tools for linear, nonlinear and nonparametric regression and classification. Novel graphical methods for assessment of parametric models using nonparametric methods. One vs. All and All vs. All multiclass classification, optional class probabilities adjustment. Nonparametric regression (k-NN) for general dimension, local-linear option. Nonlinear regression with Eickert-White method for dealing with heteroscedasticity. Utilities for converting time series to rectangular form. Utilities for conversion between factors and indicator variables. Some code related to "Statistical Regression and Classification: from Linear Models to Machine Learning", N. Matloff, 2017, CRC, ISBN 9781498710916.
Version: | 1.7.0 |
Depends: | R (≥ 3.5.0), FNN, gtools |
Imports: | R.utils, mvtnorm, sandwich, MASS, car, data.table, glmnet, rje, text2vec, polyreg |
Suggests: | knitr, rmarkdown, OpenImageR, cdparcoord, keras, magick, partools |
Published: | 2022-03-30 |
DOI: | 10.32614/CRAN.package.regtools |
Author: | Norm Matloff [aut, cre], Robin Yancey [aut], Bochao Xin [ctb], Kenneth Lee [ctb], Rongkui Han [ctb] |
Maintainer: | Norm Matloff <matloff at cs.ucdavis.edu> |
BugReports: | https://github.com/matloff/regtools/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://github.com/matloff/regtools |
NeedsCompilation: | no |
Materials: | README |
In views: | TeachingStatistics |
CRAN checks: | regtools results |
Reference manual: | regtools.pdf |
Vignettes: |
regtools |
Package source: | regtools_1.7.0.tar.gz |
Windows binaries: | r-devel: regtools_1.7.0.zip, r-release: regtools_1.7.0.zip, r-oldrel: regtools_1.7.0.zip |
macOS binaries: | r-release (arm64): regtools_1.7.0.tgz, r-oldrel (arm64): regtools_1.7.0.tgz, r-release (x86_64): regtools_1.7.0.tgz, r-oldrel (x86_64): regtools_1.7.0.tgz |
Old sources: | regtools archive |
Reverse depends: | dsld, partools, qeML, toweranNA |
Reverse suggests: | RESI |
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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.