• KernSmooth

  • Referenced in 781 articles [sw04586]
  • authors concentrate on the simplest nonparametric curve estimation setting, namely density and regression estimation. Special...
  • gss

  • Referenced in 224 articles [sw06099]
  • Smoothing spline ANOVA models Nonparametric function estimation with stochastic data, otherwise known as smoothing...
  • reccv

  • Referenced in 30 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 66 articles [sw10543]
  • implements a variety of nonparametric and semiparametric kernel-based estimators that are popular among econometricians...
  • sm

  • Referenced in 63 articles [sw12256]
  • package sm: Smoothing methods for nonparametric regression and density estimation. This is software linked...
  • ftnonpar

  • Referenced in 65 articles [sw11128]
  • perform the methods in nonparametric regression and density estimation, described in Davies...
  • reldist

  • Referenced in 19 articles [sw12292]
  • comparison of distributions. This includes nonparametric estimation of the relative distribution...
  • S+WAVELETS

  • Referenced in 28 articles [sw12244]
  • diverse as data visualization and analysis, nonparametric statistical estimation, signal and image compression, signal processing...
  • FEAR

  • Referenced in 15 articles [sw08264]
  • user to compute, among other things, nonparametric estimates of technical, allocative, and overall efficiency while...
  • kerdiest

  • Referenced in 9 articles [sw11983]
  • 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 kernel...
  • pdfCluster

  • Referenced in 9 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...
  • 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...
  • unbalhaar

  • Referenced in 9 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 47 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...
  • decon

  • Referenced in 14 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...
  • TPmsm

  • Referenced in 4 articles [sw22603]
  • estimation of transition probabilities. The usual nonparametric estimator of the transition matrix for non-homogeneous...
  • MNM

  • Referenced in 25 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...
  • ConfBands

  • Referenced in 22 articles [sw12330]
  • three types of estimation methods: (a) as a standard (fixed effect) nonparametric model, (b) using...