Package: regtools Version: 1.7.5 Title: Regression and Classification Tools Authors@R: c(person("Norm", "Matloff", email = "matloff@cs.ucdavis.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-9179-6785")), person("Robin", "Yancey", email = "reyancey@ucdavis.edu", role = c("aut")), person("Bochao", "Xin", email = "xinbochao97@outlook.com",role = c("ctb")), person("Kenneth", "Lee", email = "honlee@ucdavis.edu", role = c("ctb")), person("Rongkui", "Han", email = "rkbhan@ucdavis.edu", role = c("ctb"))) Maintainer: Norm Matloff Depends: R (>= 3.5.0),FNN,gtools Imports: R.utils,mvtnorm,sandwich,MASS,car,data.table,glmnet,rje, 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 Config/pak/sysreqs: cmake make libicu-dev Repository: https://matloff.r-universe.dev Date/Publication: 2026-01-09 01:09:35 UTC RemoteUrl: https://github.com/matloff/regtools RemoteRef: HEAD RemoteSha: d88c6547291d37326b3a9a031e73afb6f926596d NeedsCompilation: no Packaged: 2026-06-08 10:46:05 UTC; root Author: Norm Matloff [aut, cre] (ORCID: ), Robin Yancey [aut], Bochao Xin [ctb], Kenneth Lee [ctb], Rongkui Han [ctb]