• 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 kernel-based 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 cross-validated 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 ... error-free 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 plug-in of Altman and Leger, the plug...
  • WAFO

  • Referenced in 25 articles [sw07370]
  • linear and non-linear 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 cross-validation 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]
  • Kraskov-Stögbauer-Grassberger estimators, box-kernel estimation, linear-Gaussian). 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 S-Plus 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 k-class estimation; automatic output of the Hansen-Sargan or Anderson ... exogeneity of subsets of instruments (orthog() option); kernel-based autocorrelation-consistent (AC) and heteroskedastic ... autocorrelation-consistent (HAC) estimation, with user-specified 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...