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.
- Version1.7.0
- R version≥ 3.5.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release03/30/2022
Documentation
Team
Norm Matloff
Robin Yancey
Show author detailsRolesAuthorBochao Xin
Show author detailsRolesContributorKenneth Lee
Show author detailsRolesContributorRongkui Han
Show author detailsRolesContributor
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- Depends2 packages
- Imports10 packages
- Suggests7 packages
- Reverse Depends4 packages
- Reverse Suggests1 package