• KernSmooth

  • Referenced in 978 articles [sw04586]
  • concentrate on the simplest nonparametric curve estimation setting, namely density and regression estimation. Special attention...
  • sm

  • Referenced in 70 articles [sw12256]
  • package sm: Smoothing methods for nonparametric regression and density estimation. This is software linked...
  • ftnonpar

  • Referenced in 67 articles [sw11128]
  • perform the methods in nonparametric regression and density estimation, described in Davies...
  • pdfCluster

  • Referenced in 19 articles [sw14640]
  • package pdfCluster: Cluster analysis via nonparametric density estimation. The package performs cluster analysis via nonparametric...
  • DPpackage

  • Referenced in 69 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...
  • gss

  • Referenced in 293 articles [sw06099]
  • Smoothing spline ANOVA models Nonparametric function estimation with stochastic data, otherwise known as smoothing ... with censored life time data; (ii) density and conditional density estimation under a variety...
  • decon

  • Referenced in 20 articles [sw11088]
  • collection of functions to deal with nonparametric measurement error problems using deconvolution kernel methods ... 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 ... Fast Fourier Transform” (FFT) algorithm for density estimation with error-free data to the deconvolution...
  • benchden

  • Referenced in 4 articles [sw11013]
  • distributions introduced as benchmarks for nonparametric density estimation by Berlinet and Devroye (1994). Includes densities...
  • msBP

  • Referenced in 4 articles [sw23268]
  • Polynomials for Densities. Performs Bayesian nonparametric multiscale density estimation and multiscale testing of group differences...
  • scdensity

  • Referenced in 1 article [sw37434]
  • Self-consistent density estimation. Estimating a continuous density function from a finite set of data ... tool in many scientific disciplines. Popular nonparametric density estimators include histograms and kernel density methods ... recent approach, a new method for nonparametric density estimation was proposed that finds the estimate...
  • Kader

  • Referenced in 2 articles [sw23643]
  • Kader - An R Package for Nonparametric Kernel Adjusted Density Estimation and Regression. In a series ... fully data-adaptive nonparametric kernel method for pointwise univariate density estimation and likewise for regression...
  • npsp

  • Referenced in 3 articles [sw31433]
  • package npsp: Nonparametric Spatial Statistics. Multidimensional nonparametric spatio-temporal (geo)statistics. S3 classes and methods ... binning, local polynomial kernel regression, density and variogram estimation. Nonparametric methods for simultaneous inference...
  • bsplinePsd

  • Referenced in 2 articles [sw31798]
  • package bsplinePsd: Bayesian Nonparametric Spectral Density Estimation Using B-Spline Priors. Implementation of a Metropolis ... estimate the spectral density of a stationary time series. The algorithm updates a nonparametric...
  • sm

  • Referenced in 1 article [sw26319]
  • kernel smoothing methods for obtaining nonparametric estimates of density functions and regression curves for different ... purposes as, for instance, when a nonparametric estimate is used for checking a proposed parametric...
  • BNPmix

  • Referenced in 3 articles [sw28208]
  • models are flexible Bayesian nonparametric models to deal with density estimation. Estimation could be done...
  • DirStats

  • Referenced in 1 article [sw40630]
  • Nonparametric Methods for Directional Data. Nonparametric kernel density estimation, bandwidth selection, and other utilities...
  • haldensify

  • Referenced in 1 article [sw35416]
  • Adaptive Lasso Conditional Density Estimation. Conditional density estimation is a longstanding and challenging problem ... such complex functions. Algorithms for nonparametric estimation of conditional densities based on a pooled hazard ... based on the highly adaptive lasso, a nonparametric regression function for efficient estimation with fast...
  • Bayesian Regression

  • Referenced in 2 articles [sw19268]
  • Bayesian nonparametric (and parametric) mixed models for regression analysis and density estimation. The Bayesian Regression...
  • NPsimex

  • Referenced in 5 articles [sw11305]
  • perform nonparametric deconvolution using simulation extrapolation (SIMEX). We propose an estimator that adopts the SIMEX ... There is no bandwidth parameter and the estimate is determined by appropriately selecting ”design points ... Deconvolution density estimation with heteroscedastic errors using SIMEX...
  • nprobust

  • Referenced in 3 articles [sw30833]
  • nprobust: Nonparametric Robust Estimation and Inference Methods using Local Polynomial Regression and Kernel Density Estimation...