CRAN/E | regtools

regtools

Regression and Classification Tools

Installation

About

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.

github.com/matloff/regtools
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Key Metrics

Version 1.7.0
R ≥ 3.5.0
Published 2022-03-30 757 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks regtools results

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Maintainer

Maintainer

Norm Matloff

matloff@cs.ucdavis.edu

Authors

Norm Matloff

aut / cre

Robin Yancey

aut

Bochao Xin

ctb

Kenneth Lee

ctb

Rongkui Han

ctb

Material

README
Reference manual
Package source

In Views

TeachingStatistics

Vignettes

regtools

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

regtools archive

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

Reverse Depends

partools