
SemiPar
 Referenced in 761 articles
[sw07116]
 existing regression texts treat either parametric or nonparametric regression exclusively. In this book the authors ... argue that nonparametric regression can be viewed as a relatively simple extension of parametric regression...

KernSmooth
 Referenced in 1008 articles
[sw04586]
 smoothers the authors concentrate on the simplest nonparametric curve estimation setting, namely density and regression...

SAS/STAT
 Referenced in 438 articles
[sw18788]
 survival analysis, psychometric analysis, cluster analysis, and nonparametric analysis. A few examples include mixed models...

bootlib
 Referenced in 426 articles
[sw40642]
 with single samples from parametric and nonparametric models. Chapter 3 extends the basic ideas...

gss
 Referenced in 317 articles
[sw06099]
 Smoothing spline ANOVA models Nonparametric function estimation with stochastic data, otherwise known as smoothing...

np
 Referenced in 103 articles
[sw10543]
 Nonparametric Econometrics: The np Package. We describe the R np package via a series ... package implements a variety of nonparametric and semiparametric kernelbased estimators that are popular among ... econometricians. There are also procedures for nonparametric tests of significance and consistent model specification tests...

DPpackage
 Referenced in 72 articles
[sw10495]
 DPpackage: Bayesian Semi and Nonparametric Modeling in R. Data analysis sometimes requires the relaxation ... programs for the implementation of some Bayesian nonparametric and semiparametric models in R, DPpackage. Currently...

ftnonpar
 Referenced in 67 articles
[sw11128]
 ftnonpar: Features and Strings for Nonparametric Regression. The package contains Rfunctions to perform ... methods in nonparametric regression and density estimation, described in Davies, P. L. and Kovac...

TwoCop
 Referenced in 60 articles
[sw12359]
 TwoCop: Nonparametric test of equality between two copulas. This package implements the nonparametric test...

BartPy
 Referenced in 83 articles
[sw40584]
 from a posterior. Effectively, BART is a nonparametric Bayesian regression approach which uses dimensionally adaptive...

sm
 Referenced in 71 articles
[sw12256]
 package sm: Smoothing methods for nonparametric regression and density estimation. This is software linked...

BayesTree
 Referenced in 64 articles
[sw07995]
 from a posterior. Effectively, BART is a nonparametric Bayesian regression approach which uses dimensionally adaptive...

MNM
 Referenced in 58 articles
[sw06075]
 package MNM: Multivariate Nonparametric Methods. An Approach Based on Spatial Signs and Ranks , The package...

reccv
 Referenced in 36 articles
[sw26388]
 Wavelet Estimators in Nonparametric Regression: A Comparative Simulation Study. Wavelet analysis has been found ... powerful tool for the nonparametric estimation of spatiallyvariable objects. We discuss in detail wavelet ... methods in nonparametric regression, where the data are modelled as observations of a signal contaminated...

missForest
 Referenced in 40 articles
[sw19483]
 package missForest: Nonparametric Missing Value Imputation using Random Forest. The function ’missForest’ in this package...

S+WAVELETS
 Referenced in 38 articles
[sw12244]
 diverse as data visualization and analysis, nonparametric statistical estimation, signal and image compression, signal processing...

ConfBands
 Referenced in 34 articles
[sw12330]
 methods: (a) as a standard (fixed effect) nonparametric model, (b) using the mixedmodel framework...

faraway
 Referenced in 24 articles
[sw04357]
 with R. Generalized linear, mixed effects and nonparametric regression models. Linear models are central ... linear models (GLMs), mixed effect models, and nonparametric regression models. The author’s treatment...

IndependenceTests
 Referenced in 33 articles
[sw18402]
 package IndependenceTests: Nonparametric tests of independence between random vectors. Functions for testing mutual independence between...

cpm
 Referenced in 23 articles
[sw14569]
 Batch Change Detection Using Parametric and Nonparametric Methods. Sequential and batch change detection for univariate ... model framework. Functions are provided to allow nonparametric distributionfree change detection in the mean...