• KernSmooth

  • Referenced in 937 articles [sw04586]
  • simplest nonparametric curve estimation setting, namely density and regression estimation. Special attention is given...
  • SPEA2

  • Referenced in 463 articles [sw06686]
  • fine-grained fitness assignment strategy, a density estimation technique, and an enhanced archive truncation method...
  • mclust

  • Referenced in 272 articles [sw00563]
  • Model-Based Clustering, Classification, and Density Estimation , Normal Mixture Modeling fitted via EM algorithm ... Model-Based Clustering, Classification, and Density Estimation, including Bayesian regularization...
  • gss

  • Referenced in 282 articles [sw06099]
  • Smoothing spline ANOVA models Nonparametric function estimation with stochastic data, otherwise known as smoothing ... time data; (ii) density and conditional density estimation under a variety of sampling schemes...
  • wavethresh

  • Referenced in 134 articles [sw06084]
  • series, nonstationary multiscale transfer function modeling, density estimation...
  • sm

  • Referenced in 70 articles [sw12256]
  • Smoothing methods for nonparametric regression and density estimation. This is software linked to the book...
  • ftnonpar

  • Referenced in 67 articles [sw11128]
  • methods in nonparametric regression and density estimation, described in Davies, P. L. and Kovac ... Davies, P. L. and Kovac, A. (2004) Densities, Spectral Densities and Modality Annals of Statistics...
  • DPpackage

  • Referenced in 67 articles [sw10495]
  • includes models for marginal and conditional density estimation, receiver operating characteristic curve analysis, interval-censored...
  • logcondens

  • Referenced in 49 articles [sw11215]
  • logcondens: Estimate a Log-Concave Probability Density from iid Observations. Given independent and identically distributed ... compute the maximum likelihood estimator (MLE) of a density as well as a smoothed version ... value of the density and distribution function estimates (MLE and smoothed) at a given point ... been used to illustrate log-concave density estimation are made available...
  • LogConcDEAD

  • Referenced in 52 articles [sw08080]
  • package LogConcDEAD: Log-concave Density Estimation in Arbitrary Dimensions. Computes a log-concave (maximum likelihood...
  • NDSPMHD

  • Referenced in 45 articles [sw10435]
  • self-consistently derived from the density estimate. We then show how to interpret these equations...
  • WaveThresh4

  • Referenced in 41 articles [sw04496]
  • series, nonstationary multiscale transfer function modeling, density estimation...
  • Mixmod

  • Referenced in 36 articles [sw06991]
  • data set for the purposes of density estimation, clustering or discriminant analysis. A large variety...
  • LS-SVMlab

  • Referenced in 26 articles [sw07367]
  • nonlinear classification, function estimation and density estimation which has also led to many other recent...
  • Orca

  • Referenced in 32 articles [sw32638]
  • points where the nearest neighbor density estimate is small...
  • fdrtool

  • Referenced in 30 articles [sw08196]
  • package contains functions for non-parametric density estimation (Grenander estimator), for monotone regression (isotonic regression...
  • pdfCluster

  • Referenced in 16 articles [sw14640]
  • package pdfCluster: Cluster analysis via nonparametric density estimation. The package performs cluster analysis via nonparametric ... density estimation. Operationally, the kernel method is used throughout to estimate the density. Diagnostics methods ... includes also a routine to estimate the probability density function obtained by the kernel method...
  • WAFO

  • Referenced in 24 articles [sw07370]
  • density of rainflow cycles Sea modelling: Simulation of linear and non-linear Gaussian waves; Estimation ... distributions Statistics: Extreme value analysis; Kernel density estimation, Hidden markov models...
  • decon

  • Referenced in 20 articles [sw11088]
  • model, where the goal is to estimate the density or distribution function from contaminated data ... homoscedastic or heteroscedastic. To make the deconvolution estimators computationally more efficient in R, we adapt ... Fast Fourier Transform” (FFT) algorithm for density estimation with error-free data to the deconvolution...
  • locfit

  • Referenced in 17 articles [sw07966]
  • package locfit: Local Regression, Likelihood and Density Estimation. Local regression, likelihood and density estimation...