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: |
1.7.0 |
| 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 |
| 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 |
Documentation:
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