CRAN/E | np

np

Nonparametric Kernel Smoothing Methods for Mixed Data Types

Installation

About

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, ), the Social Sciences and Humanities Research Council of Canada (SSHRC, ), and the Shared Hierarchical Academic Research Computing Network (SHARCNET, ). We would also like to acknowledge the contributions of the GNU GSL authors. In particular, we adapt the GNU GSL B-spline routine gsl_bspline.c adding automated support for quantile knots (in addition to uniform knots), providing missing functionality for derivatives, and for extending the splines beyond their endpoints.

Citation np citation info
github.com/JeffreyRacine/R-Package-np
Copyright see file COPYRIGHTS
Bug report File report

Key Metrics

Version 0.60-17
Published 2023-03-13 409 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks np results

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Maintainer

Maintainer

Jeffrey S. Racine

racinej@mcmaster.ca

Authors

Jeffrey S. Racine

aut / cre

Tristen Hayfield

aut

Material

README
ChangeLog
Reference manual
Package source

In Views

Econometrics

Vignettes

Entropy-based Inference Using the np Package
The np Package
Frequently Asked Questions (np)

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

np archive

Imports

boot
cubature
methods
quadprog
quantreg
stats

Suggests

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Reverse Depends

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Reverse Imports

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Compind
condSURV
crs
drtmle
lg
nlpred
nse
NSM3
pssmooth
Qtools
quantCurves
quantilogram
rcDEA
ROCnReg
simIReff
sobolnp
survidm
treeclim

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