np: Nonparametric Kernel Smoothing Methods for Mixed Data Types

Nonparametric (and semiparametric) kernel methods that seamlessly handle a mix of continuous, unordered, and ordered factor data types. We would like to gratefully acknowledge support from the Natural Sciences and Engineering Research Council of Canada (NSERC, <https://www.nserc-crsng.gc.ca/>), the Social Sciences and Humanities Research Council of Canada (SSHRC, <https://www.sshrc-crsh.gc.ca/>), and the Shared Hierarchical Academic Research Computing Network (SHARCNET, <https://sharcnet.ca/>).

Version: 0.60-14
Imports: boot, cubature, methods, quadprog, quantreg, stats
Suggests: MASS, logspline, ks
Published: 2022-09-05
Author: Jeffrey S. Racine [aut, cre], Tristen Hayfield [aut]
Maintainer: Jeffrey S. Racine <racinej at mcmaster.ca>
BugReports: https://github.com/JeffreyRacine/R-Package-np/issues
License: GPL-2 | GPL-3 [expanded from: GPL]
Copyright: see file COPYRIGHTS
URL: https://github.com/JeffreyRacine/R-Package-np
NeedsCompilation: yes
Citation: np citation info
Materials: README ChangeLog
In views: Econometrics
CRAN checks: np results

Documentation:

Reference manual: np.pdf
Vignettes: Entropy-based Inference Using the np Package
The np Package
Frequently Asked Questions (np)

Downloads:

Package source: np_0.60-14.tar.gz
Windows binaries: r-devel: np_0.60-14.zip, r-release: np_0.60-14.zip, r-oldrel: np_0.60-14.zip
macOS binaries: r-release (arm64): np_0.60-13.tgz, r-oldrel (arm64): np_0.60-13.tgz, r-release (x86_64): np_0.60-14.tgz, r-oldrel (x86_64): np_0.60-14.tgz
Old sources: np archive

Reverse dependencies:

Reverse depends: CovSel, DepthProc, generalCorr, rddtools, semsfa, sharpPen
Reverse imports: AROC, bndovb, causalweight, Compind, condSURV, crs, drtmle, lg, nlpred, npbr, NSM3, pssmooth, Qtools, quantCurves, quantilogram, rcDEA, ROCnReg, simIReff, sobolnp, survidm, treeclim
Reverse suggests: AER, BNSP, spaero

Linking:

Please use the canonical form https://CRAN.R-project.org/package=np to link to this page.