• SemiPar

  • Referenced in 706 articles [sw07116]
  • existing regression texts treat either parametric or nonparametric regression exclusively. In this book the authors ... argue that nonparametric regression can be viewed as a relatively simple extension of parametric regression...
  • KernSmooth

  • Referenced in 937 articles [sw04586]
  • smoothers the authors concentrate on the simplest nonparametric curve estimation setting, namely density and regression...
  • SAS/STAT

  • Referenced in 419 articles [sw18788]
  • survival analysis, psychometric analysis, cluster analysis, and nonparametric analysis. A few examples include mixed models...
  • gss

  • Referenced in 282 articles [sw06099]
  • Smoothing spline ANOVA models Nonparametric function estimation with stochastic data, otherwise known as smoothing...
  • np

  • Referenced in 96 articles [sw10543]
  • Nonparametric Econometrics: The np Package. We describe the R np package via a series ... package implements a variety of nonparametric and semiparametric kernel-based estimators that are popular among ... econometricians. There are also procedures for nonparametric tests of significance and consistent model specification tests...
  • DPpackage

  • Referenced in 67 articles [sw10495]
  • DPpackage: Bayesian Semi- and Nonparametric Modeling in R. Data analysis sometimes requires the relaxation ... programs for the implementation of some Bayesian nonparametric and semiparametric models in R, DPpackage. Currently...
  • ftnonpar

  • Referenced in 67 articles [sw11128]
  • ftnonpar: Features and Strings for Nonparametric Regression. The package contains R-functions to perform ... methods in nonparametric regression and density estimation, described in Davies, P. L. and Kovac...
  • TwoCop

  • Referenced in 55 articles [sw12359]
  • TwoCop: Nonparametric test of equality between two copulas. This package implements the nonparametric test...
  • sm

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

  • Referenced in 59 articles [sw07995]
  • from a posterior. Effectively, BART is a nonparametric Bayesian regression approach which uses dimensionally adaptive...
  • reccv

  • Referenced in 36 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...
  • MNM

  • Referenced in 45 articles [sw06075]
  • package MNM: Multivariate Nonparametric Methods. An Approach Based on Spatial Signs and Ranks , The package...
  • S+WAVELETS

  • Referenced in 36 articles [sw12244]
  • diverse as data visualization and analysis, nonparametric statistical estimation, signal and image compression, signal processing...
  • faraway

  • Referenced in 23 articles [sw04357]
  • with R. Generalized linear, mixed effects and nonparametric regression models. Linear models are central ... linear models (GLMs), mixed effect models, and nonparametric regression models. The author’s treatment...
  • ConfBands

  • Referenced in 31 articles [sw12330]
  • methods: (a) as a standard (fixed effect) nonparametric model, (b) using the mixed-model framework...
  • missForest

  • Referenced in 30 articles [sw19483]
  • package missForest: Nonparametric Missing Value Imputation using Random Forest. The function ’missForest’ in this package...
  • decon

  • Referenced in 20 articles [sw11088]
  • collection of functions to deal with nonparametric measurement error problems using deconvolution kernel methods ... distribution function from contaminated data; (2) nonparametric regression model with errors-in-variables...
  • IndependenceTests

  • Referenced in 28 articles [sw18402]
  • package IndependenceTests: Nonparametric tests of independence between random vectors. Functions for testing mutual independence between...
  • CMARS

  • Referenced in 27 articles [sw08523]
  • CMARS: A new contribution to nonparametric regression with multivariate adaptive regression splines supported by continuous...
  • bnpmr

  • Referenced in 19 articles [sw11018]
  • bnpmr: Bayesian monotonic nonparametric regression. Implements the Bayesian nonparametric monotonic regression method described in Bornkamp...