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  • SemiPar
  • Referenced in 761 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 1008 articles [sw04586]
  • smoothers the authors concentrate on the simplest nonparametric curve estimation setting, namely density and regression...

  • SAS/STAT
  • Referenced in 438 articles [sw18788]
  • survival analysis, psychometric analysis, cluster analysis, and nonparametric analysis. A few examples include mixed models...

  • bootlib
  • Referenced in 426 articles [sw40642]
  • with single samples from parametric and nonparametric models. Chapter 3 extends the basic ideas...

  • gss
  • Referenced in 317 articles [sw06099]
  • Smoothing spline ANOVA models Nonparametric function estimation with stochastic data, otherwise known as smoothing...

  • np
  • Referenced in 103 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 72 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 60 articles [sw12359]
  • TwoCop: Nonparametric test of equality between two copulas. This package implements the nonparametric test...

  • BartPy
  • Referenced in 83 articles [sw40584]
  • from a posterior. Effectively, BART is a nonparametric Bayesian regression approach which uses dimensionally adaptive...

  • sm
  • Referenced in 71 articles [sw12256]
  • package sm: Smoothing methods for nonparametric regression and density estimation. This is software linked...

  • BayesTree
  • Referenced in 64 articles [sw07995]
  • from a posterior. Effectively, BART is a nonparametric Bayesian regression approach which uses dimensionally adaptive...

  • MNM
  • Referenced in 58 articles [sw06075]
  • package MNM: Multivariate Nonparametric Methods. An Approach Based on Spatial Signs and Ranks , The package...

  • 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...

  • missForest
  • Referenced in 40 articles [sw19483]
  • package missForest: Nonparametric Missing Value Imputation using Random Forest. The function ’missForest’ in this package...

  • S+WAVELETS
  • Referenced in 38 articles [sw12244]
  • diverse as data visualization and analysis, nonparametric statistical estimation, signal and image compression, signal processing...

  • ConfBands
  • Referenced in 34 articles [sw12330]
  • methods: (a) as a standard (fixed effect) nonparametric model, (b) using the mixed-model framework...

  • faraway
  • Referenced in 24 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...

  • IndependenceTests
  • Referenced in 33 articles [sw18402]
  • package IndependenceTests: Nonparametric tests of independence between random vectors. Functions for testing mutual independence between...

  • cpm
  • Referenced in 23 articles [sw14569]
  • Batch Change Detection Using Parametric and Nonparametric Methods. Sequential and batch change detection for univariate ... model framework. Functions are provided to allow nonparametric distribution-free change detection in the mean...