• bootlib

  • Referenced in 426 articles [sw40642]
  • resampling methods for use with single samples from parametric and nonparametric models. Chapter 3 extends ... three subsequent chapters deal with resampling methods appropriate for linear regression models, generalized linear models...
  • MNM

  • Referenced in 48 articles [sw06075]
  • package MNM: Multivariate Nonparametric Methods. An Approach Based on Spatial Signs and Ranks , The package...
  • ftnonpar

  • Referenced in 67 articles [sw11128]
  • contains R-functions to perform the methods in nonparametric regression and density estimation, described...
  • sm

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

  • Referenced in 36 articles [sw26388]
  • objects. We discuss in detail wavelet methods in nonparametric regression, where the data are modelled ... wide range of classical and empirical Bayes methods treating either individual or blocks of wavelet...
  • np

  • Referenced in 100 articles [sw10543]
  • among econometricians. There are also procedures for nonparametric tests of significance and consistent model specification ... others. The np package focuses on kernel methods appropriate for the mix of continuous, discrete...
  • cpm

  • Referenced in 21 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 ... given sequence of observations. Parametric change detection methods are also provided for Gaussian, Bernoulli...
  • gss

  • Referenced in 293 articles [sw06099]
  • Smoothing spline ANOVA models Nonparametric function estimation with stochastic data, otherwise known as smoothing ... ample desktop and laptop computing power, smoothing methods are now finding their ways into everyday...
  • NSM3

  • Referenced in 14 articles [sw11336]
  • accompany Hollander, Wolfe, and Chicken - Nonparametric Statistical Methods, Third Edition. This package was designed ... editions of Hollander and Wolfe - Nonparametric Statistical Methods. Exact procedures are performed when computationally possible...
  • NPCirc

  • Referenced in 11 articles [sw21264]
  • package NPCirc: Nonparametric Circular Methods. This package implements nonparametric smoothing methods for circular data...
  • BartPy

  • Referenced in 83 articles [sw40584]
  • nonparametric Bayesian regression approach which uses dimensionally adaptive random basis elements. Motivated by ensemble methods...
  • bnpmr

  • Referenced in 20 articles [sw11018]
  • nonparametric regression. Implements the Bayesian nonparametric monotonic regression method described in Bornkamp & Ickstadt (2009), Biometrics...
  • MatchIt

  • Referenced in 15 articles [sw10538]
  • statistical models by preprocessing data with nonparametric matching methods. MatchIt implements a wide range...
  • BayesTree

  • Referenced in 64 articles [sw07995]
  • BayesTree: Bayesian Methods for Tree Based Models: Implementation of BART: Bayesian Additive Regression Trees ... nonparametric Bayesian regression approach which uses dimensionally adaptive random basis elements. Motivated by ensemble methods...
  • ConfBands

  • Referenced in 34 articles [sw12330]
  • types of estimation methods: (a) as a standard (fixed effect) nonparametric model, (b) using ... formula is applied for the first two methods and compared with Bayesian simultaneous confidence bands...
  • kerdiest

  • Referenced in 12 articles [sw11983]
  • performed. Three automatic bandwidth selection methods for nonparametric kernel distribution function estimation are implemented...
  • ibr

  • Referenced in 7 articles [sw11227]
  • knowledge, no other adaptive fully nonparametric regression estimator is available without constrained assumption such ... real example, the Boston Housing Data, our method reduces the out of sample prediction error ... CRAN, implements the proposed multivariate nonparametric method...
  • NHPP

  • Referenced in 6 articles [sw03163]
  • data. In this article we constructed a method of the type of maximum likelihood estimation ... completely unknown, we designed a nonparametric method for estimating the change-point...
  • pdfCluster

  • Referenced in 21 articles [sw14640]
  • performs cluster analysis via nonparametric density estimation. Operationally, the kernel method is used throughout...
  • DPpackage

  • Referenced in 69 articles [sw10495]
  • DPpackage: Bayesian Semi- and Nonparametric Modeling in R. Data analysis sometimes requires the relaxation ... spaces are highly complex and hence sampling methods play a key role. This paper provides ... programs for the implementation of some Bayesian nonparametric and semiparametric models in R, DPpackage. Currently...