
KernSmooth
 Referenced in 919 articles
[sw04586]
 authors concentrate on the simplest nonparametric curve estimation setting, namely density and regression estimation. Special...

gss
 Referenced in 282 articles
[sw06099]
 Smoothing spline ANOVA models Nonparametric function estimation with stochastic data, otherwise known as smoothing...

reccv
 Referenced in 35 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 ... literature of wavelet shrinkage and wavelet thresholding estimators developed to denoise such data. These estimators...

np
 Referenced in 93 articles
[sw10543]
 implements a variety of nonparametric and semiparametric kernelbased estimators that are popular among econometricians...

sm
 Referenced in 69 articles
[sw12256]
 package sm: Smoothing methods for nonparametric regression and density estimation. This is software linked...

ftnonpar
 Referenced in 67 articles
[sw11128]
 perform the methods in nonparametric regression and density estimation, described in Davies...

reldist
 Referenced in 24 articles
[sw12292]
 comparison of distributions. This includes nonparametric estimation of the relative distribution...

S+WAVELETS
 Referenced in 36 articles
[sw12244]
 diverse as data visualization and analysis, nonparametric statistical estimation, signal and image compression, signal processing...

FEAR
 Referenced in 19 articles
[sw08264]
 user to compute, among other things, nonparametric estimates of technical, allocative, and overall efficiency while...

pdfCluster
 Referenced in 15 articles
[sw14640]
 package pdfCluster: Cluster analysis via nonparametric density estimation. The package performs cluster analysis via nonparametric...

kerdiest
 Referenced in 12 articles
[sw11983]
 package kerdiest: Nonparametric kernel estimation of the distribution function. Bandwidth selection and estimation of related ... functions. Nonparametric kernel distribution function estimation is performed. Three automatic bandwidth selection methods for nonparametric...

msSurv
 Referenced in 7 articles
[sw22605]
 package msSurv: Nonparametric Estimation for Multistate Models. Nonparametric estimation for right censored, left truncated time...

MNM
 Referenced in 44 articles
[sw06075]
 package MNM: Multivariate Nonparametric Methods. An Approach Based on Spatial Signs and Ranks , The package ... provides multivariate tests, estimates and methods based on the identity score, spatial sign score...

unbalhaar
 Referenced in 11 articles
[sw12246]
 unbalhaar: Function estimation via Unbalanced Haar wavelets. The package implements ... down and bottomup algorithms for nonparametric function estimation in Gaussian noise using Unbalanced Haar...

DPpackage
 Referenced in 66 articles
[sw10495]
 programs for the implementation of some Bayesian nonparametric and semiparametric models in R, DPpackage. Currently ... includes models for marginal and conditional density estimation, receiver operating characteristic curve analysis, intervalcensored...

npmlreg
 Referenced in 7 articles
[sw08191]
 package npmlreg: Nonparametric maximum likelihood estimation for random effect models. Nonparametric maximum likelihood estimation...

decon
 Referenced in 19 articles
[sw11088]
 decon: Deconvolution Estimation in Measurement Error Models. This package contains a collection of functions ... deal with nonparametric measurement error problems using deconvolution kernel methods. We focus two measurement error ... estimate the density or distribution function from contaminated data; (2) nonparametric regression model with errors ... homoscedastic or heteroscedastic. To make the deconvolution estimators computationally more efficient in R, we adapt...

ibr
 Referenced in 7 articles
[sw11227]
 estimation for multivariate regression smoothers. This paper presents a practical and simple fully nonparametric multivariate ... smoothness of the true regression function. Our estimator is easily computed by successive application ... moderate sample size n≤1000. Moreover our estimator is still useful when ... knowledge, no other adaptive fully nonparametric regression estimator is available without constrained assumption such...

WFMM
 Referenced in 6 articles
[sw36436]
 computation. It provides as output nonparametric estimates of fixed and random effects functions that have...

ConfBands
 Referenced in 31 articles
[sw12330]
 three types of estimation methods: (a) as a standard (fixed effect) nonparametric model, (b) using...