regtools: Regression Tools

Tools for linear, nonlinear and nonparametric regression and classification. Parametric fit assessment using nonparametric methods. One vs. All and All vs. All multiclass classification. Nonparametric regression for general dimension, locally-linear option. Nonlinear regression with Eickert-White method for dealing with heteroscedasticity, k-NN for general dimension and general descriptive functions.

Install the latest version of this package by entering the following in R:
install.packages("regtools")
AuthorNorm Matloff
Date of publication2016-11-07 21:07:44
MaintainerNorm Matloff <matloff@cs.ucdavis.edu>
LicenseGPL (>= 2)
Version1.0.1

View on CRAN

Files

inst
inst/README
inst/doc
inst/doc/regtools.Rmd
inst/doc/regtools.html
NAMESPACE
data
data/prgeng.txt.gz
data/ltrfreqs.txt.gz
data/datalist
R
R/Boosting.R R/MultiClass.R R/Nonlin.R R/MM.R R/Ridge.R R/Nonpar.R R/AC.R
vignettes
vignettes/regtools.Rmd
vignettes/parvsnonpar.png
vignettes/wagevsage.png
vignettes/regtools.Rnw.save
vignettes/regtools.Rmd.save
vignettes/varvsmean.png
README.md
MD5
build
build/vignette.rds
DESCRIPTION
man
man/nlshc.Rd man/ridgelm.Rd man/ovalogtrn.Rd man/prgeng.Rd man/lmac.Rd man/mm.Rd man/ltrfreqs.Rd man/knnest.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.