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KernSmooth
- Referenced in 921 articles
[sw04586]
- authors concentrate on the simplest nonparametric curve estimation setting, namely density and regression estimation. Special...
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gss
- Referenced in 277 articles
[sw06099]
- Smoothing spline ANOVA models Nonparametric function estimation with stochastic data, otherwise known as smoothing...
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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 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...
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np
- Referenced in 92 articles
[sw10543]
- implements a variety of nonparametric and semiparametric kernel-based estimators that are popular among econometricians...
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sm
- Referenced in 69 articles
[sw12256]
- package sm: Smoothing methods for nonparametric regression and density estimation. This is software linked...
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ftnonpar
- Referenced in 67 articles
[sw11128]
- perform the methods in nonparametric regression and density estimation, described in Davies...
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S+WAVELETS
- Referenced in 36 articles
[sw12244]
- diverse as data visualization and analysis, nonparametric statistical estimation, signal and image compression, signal processing...
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reldist
- Referenced in 22 articles
[sw12292]
- comparison of distributions. This includes nonparametric estimation of the relative distribution...
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FEAR
- Referenced in 19 articles
[sw08264]
- user to compute, among other things, nonparametric estimates of technical, allocative, and overall efficiency while...
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pdfCluster
- Referenced in 14 articles
[sw14640]
- package pdfCluster: Cluster analysis via nonparametric density estimation. The package performs cluster analysis via nonparametric...
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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...
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msSurv
- Referenced in 6 articles
[sw22605]
- package msSurv: Nonparametric Estimation for Multistate Models. Nonparametric estimation for right censored, left truncated time...
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MNM
- Referenced in 43 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...
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unbalhaar
- Referenced in 11 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...
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DPpackage
- Referenced in 64 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...
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npmlreg
- Referenced in 7 articles
[sw08191]
- package npmlreg: Nonparametric maximum likelihood estimation for random effect models. Nonparametric maximum likelihood estimation...
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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...
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WFMM
- Referenced in 6 articles
[sw36436]
- computation. It provides as output nonparametric estimates of fixed and random effects functions that have...
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decon
- Referenced in 18 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...
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ConfBands
- Referenced in 30 articles
[sw12330]
- three types of estimation methods: (a) as a standard (fixed effect) nonparametric model, (b) using...