• KernSmooth

• Referenced in 978 articles [sw04586]
• authors concentrate on the simplest nonparametric curve estimation setting, namely density and regression estimation. Special...

• gss

• Referenced in 293 articles [sw06099]
• Smoothing spline ANOVA models Nonparametric function estimation with stochastic data, otherwise known as smoothing...

• 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 spatially-variable 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 100 articles [sw10543]
• implements a variety of nonparametric and semiparametric kernel-based estimators that are popular among econometricians...

• sm

• Referenced in 70 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 37 articles [sw12244]
• diverse as data visualization and analysis, nonparametric statistical estimation, signal and image compression, signal processing...

• pdfCluster

• Referenced in 19 articles [sw14640]
• package pdfCluster: Cluster analysis via nonparametric density estimation. The package performs cluster analysis via nonparametric...

• FEAR

• Referenced in 20 articles [sw08264]
• user to compute, among other things, nonparametric estimates of technical, allocative, and overall efficiency while...

• 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 48 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 12 articles [sw12246]
• unbalhaar: Function estimation via Unbalanced Haar wavelets. The package implements ... down and bottom-up algorithms for nonparametric function estimation in Gaussian noise using Unbalanced Haar...

• DPpackage

• Referenced in 69 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, interval-censored...

• erboost

• Referenced in 10 articles [sw26258]
• Nonparametric Multiple Expectile Regression via ER-Boost. Expectile regression is a nice tool for estimating ... regression tree based gradient boosting estimator for nonparametric multiple expectile regression...

• decon

• Referenced in 20 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...

• npmlreg

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

• ConfBands

• Referenced in 34 articles [sw12330]
• three types of estimation methods: (a) as a standard (fixed effect) nonparametric model, (b) using...

• 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...