
KernSmooth
 Referenced in 1018 articles
[sw04586]
 analysis of kernel smoothers the authors concentrate on the simplest nonparametric curve estimation setting, namely ... density and regression estimation. Special attention is given to the problem of choosing the smoothing ... amount of research in the field of kernel smoothing. But the bibliographical notes...

np
 Referenced in 103 articles
[sw10543]
 variety of nonparametric and semiparametric kernelbased estimators that are popular among econometricians. There ... among others. The np package focuses on kernel methods appropriate for the mix of continuous...

spatstat
 Referenced in 143 articles
[sw04429]
 plots, pair correlation function, kernel smoothed intensity, relative risk estimation with crossvalidated bandwidth selection...

decon
 Referenced in 22 articles
[sw11088]
 decon: Deconvolution Estimation in Measurement Error Models. This package contains a collection of functions ... with nonparametric measurement error problems using deconvolution kernel methods. We focus two measurement error models ... error model, where the goal is to estimate the density or distribution function from contaminated ... errorfree data to the deconvolution kernel estimation. Several methods for the selection...

kerdiest
 Referenced in 14 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 ... kernel distribution function estimation are implemented: the plugin of Altman and Leger, the plug...

WAFO
 Referenced in 25 articles
[sw07370]
 linear and nonlinear Gaussian waves; Estimation of seamodels (spectrums); Joint wave height, wave steepness ... period distributions Statistics: Extreme value analysis; Kernel density estimation, Hidden markov models...

pdfCluster
 Referenced in 22 articles
[sw14640]
 cluster analysis via nonparametric density estimation. Operationally, the kernel method is used throughout to estimate ... routine to estimate the probability density function obtained by the kernel method, given...

SVM
 Referenced in 31 articles
[sw14904]
 Kernel Methods Matlab Toolbox. Key Features: SVM Classification using linear and quadratic penalization of misclassified ... Regularisation Networks; SVM bounds (Span estimate, radius/margin); Wavelet Kernel; SVM Based Feature Selection; Kernel...

GetDist
 Referenced in 23 articles
[sw29994]
 LaTeX labels and prior bounds; Optimized Kernel Density Estimation  automated optimal bandwidth choice...

DENCLUE
 Referenced in 12 articles
[sw28734]
 DENCLUE 2.0: Fast Clustering Based on Kernel Density Estimation. The Denclue algorithm employs a cluster ... model based on kernel density estimation. A cluster is defined by a local maximum ... estimated density function. Data points are assigned to clusters by hill climbing, i.e. points going ... hill climbing procedure for Gaussian kernels, which adjusts the step size automatically at no extra...

evmix
 Referenced in 8 articles
[sw19523]
 Modelling, Threshold Estimation and Boundary Corrected Kernel Density Estimation. The usual distribution functions, maximum likelihood ... extreme value mixture models are provided. Kernel density estimation including various boundary corrected kernel density ... estimation methods and a wide choice of kernels, with crossvalidation likelihood based bandwidth estimator...

AS 176
 Referenced in 17 articles
[sw27946]
 Algorithm AS 176. Kernel density estimation using the fast Fourier transform...

JIDT
 Referenced in 9 articles
[sw23550]
 KraskovStögbauerGrassberger estimators, boxkernel estimation, linearGaussian). JIDT ships with a large number...

sm
 Referenced in 71 articles
[sw12256]
 Smoothing methods for nonparametric regression and density estimation. This is software linked to the book ... Applied Smoothing Techniques for Data Analysis  The Kernel Approach with SPlus Illustrations’ Oxford University...

CGAL
 Referenced in 402 articles
[sw00118]
 simplification, subdivision and parameterization, as well as estimation of local differential properties, and approximation ... objects and predicates are regrouped in CGAL Kernels. Finally, the Support Library offers geometric object...

ivreg2
 Referenced in 15 articles
[sw31884]
 estimation (CUE); LIML and kclass estimation; automatic output of the HansenSargan or Anderson ... exogeneity of subsets of instruments (orthog() option); kernelbased autocorrelationconsistent (AC) and heteroskedastic ... autocorrelationconsistent (HAC) estimation, with userspecified choice of kernel; Cragg’s ”heteroskedastic OLS” (HOLS...

hdrcde
 Referenced in 7 articles
[sw08066]
 regions in one and two dimensions, kernel estimation of univariate density functions conditional...

KDE Toolbox
 Referenced in 7 articles
[sw20503]
 Kernel Density Estimation Toolbox for MATLAB. The KDE class is a general matlab class ... dimensional kernel density estimation. It is written in a mix of matlab ”.m” files...

kedd
 Referenced in 6 articles
[sw23644]
 package kedd: Kernel Estimator and Bandwidth Selection for Density and Its Derivatives. Smoothing techniques...

DBKGrad
 Referenced in 6 articles
[sw14541]
 considers a recent discrete beta kernel estimator, in both its fixed and adaptive variants...