regtools: Regression and Classification Tools

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: 1.1.0
Depends: R (≥ 3.5.0), FNN, mvtnorm, dummies, sandwich
Suggests: knitr, rmarkdown
Published: 2019-08-25
Author: Norm Matloff
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
CRAN checks: regtools results

Downloads:

Reference manual: regtools.pdf
Vignettes: regtools
Package source: regtools_1.1.0.tar.gz
Windows binaries: r-devel: regtools_1.1.0.zip, r-release: regtools_1.1.0.zip, r-oldrel: regtools_1.1.0.zip
OS X binaries: r-release: regtools_1.1.0.tgz, r-oldrel: regtools_1.1.0.tgz
Old sources: regtools archive

Reverse dependencies:

Reverse depends: partools

Linking:

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