
KernSmooth
 Referenced in 878 articles
[sw04586]
 authors concentrate on the simplest nonparametric curve estimation setting, namely density and regression estimation. Special...

gss
 Referenced in 252 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 84 articles
[sw10543]
 implements a variety of nonparametric and semiparametric kernelbased estimators that are popular among econometricians...

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

sm
 Referenced in 64 articles
[sw12256]
 package sm: Smoothing methods for nonparametric regression and density estimation. This is software linked...

reldist
 Referenced in 22 articles
[sw12292]
 comparison of distributions. This includes nonparametric estimation of the relative distribution...

S+WAVELETS
 Referenced in 32 articles
[sw12244]
 diverse as data visualization and analysis, nonparametric statistical estimation, signal and image compression, signal processing...

FEAR
 Referenced in 18 articles
[sw08264]
 user to compute, among other things, nonparametric estimates of technical, allocative, and overall efficiency while...

kerdiest
 Referenced in 11 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...

pdfCluster
 Referenced in 11 articles
[sw14640]
 package pdfCluster: Cluster analysis via nonparametric density estimation. The package performs cluster analysis via nonparametric...

msSurv
 Referenced in 6 articles
[sw22605]
 package msSurv: Nonparametric Estimation for Multistate Models. Nonparametric estimation for right censored, left truncated time...

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...

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

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...

DPpackage
 Referenced in 59 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...

MNM
 Referenced in 35 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...

decon
 Referenced in 16 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...

ConfBands
 Referenced in 25 articles
[sw12330]
 three types of estimation methods: (a) as a standard (fixed effect) nonparametric model, (b) using...

TPmsm
 Referenced in 4 articles
[sw22603]
 estimation of transition probabilities. The usual nonparametric estimator of the transition matrix for nonhomogeneous...