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DESCRIPTION
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DESCRIPTION
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Package: regtools
Version: 1.7.3
Title: Regression and Classification Tools
Authors@R: c(person("Norm", "Matloff", email = "[email protected]", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-9179-6785")),
person("Robin", "Yancey", email = "[email protected]", role = c("aut")),
person("Bochao", "Xin", email = "[email protected]",role = c("ctb")),
person("Kenneth", "Lee", email = "[email protected]", role = c("ctb")),
person("Rongkui", "Han", email = "[email protected]", role = c("ctb")))
Maintainer: Norm Matloff <[email protected]>
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
VignetteBuilder: knitr
License: GPL (>= 2)
Description: 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.
URL: https://github.com/matloff/regtools
BugReports: https://github.com/matloff/regtools/issues