• gss

  • Referenced in 252 articles [sw06099]
  • Smoothing spline ANOVA models Nonparametric function estimation with stochastic data, otherwise known as smoothing ... settings number far less. Smoothing spline ANOVA models are a versatile family of smoothing methods...
  • SAS/STAT

  • Referenced in 391 articles [sw18788]
  • cluster analysis, and nonparametric analysis. A few examples include mixed models, generalized linear models, correspondence...
  • DPpackage

  • Referenced in 59 articles [sw10495]
  • DPpackage: Bayesian Semi- and Nonparametric Modeling in R. Data analysis sometimes requires the relaxation ... robustness against mis-specification of the probability model. In the Bayesian context, this is accomplished ... implementation of some Bayesian nonparametric and semiparametric models in R, DPpackage. Currently, DPpackage includes models...
  • KernSmooth

  • Referenced in 878 articles [sw04586]
  • sets without the imposition of a parametric model. The main goal of this book ... smoothers the authors concentrate on the simplest nonparametric curve estimation setting, namely density and regression...
  • SemiPar

  • Referenced in 640 articles [sw07116]
  • this book the authors argue that nonparametric regression can be viewed as a relatively simple ... based on penalized regression splines and mixed models. Every model in this book...
  • faraway

  • Referenced in 22 articles [sw04357]
  • Generalized linear, mixed effects and nonparametric regression models. Linear models are central to the practice ... generalized linear models (GLMs), mixed effect models, and nonparametric regression models. The author’s treatment...
  • ConfBands

  • Referenced in 25 articles [sw12330]
  • standard (fixed effect) nonparametric model, (b) using the mixed-model framework with the spline coefficients...
  • np

  • Referenced in 84 articles [sw10543]
  • also procedures for nonparametric tests of significance and consistent model specification tests for parametric mean...
  • decon

  • Referenced in 16 articles [sw11088]
  • Error Models. This package contains a collection of functions to deal with nonparametric measurement error ... package: (1) an additive measurement error model, where the goal is to estimate the density ... distribution function from contaminated data; (2) nonparametric regression model with errors-in-variables...
  • WRS2

  • Referenced in 19 articles [sw16389]
  • ANOVA, robust correlation, robust mediation, and nonparametric ANCOVA models based on robust location measures...
  • reccv

  • Referenced in 35 articles [sw26388]
  • detail wavelet methods in nonparametric regression, where the data are modelled as observations...
  • npmlreg

  • Referenced in 7 articles [sw08191]
  • maximum likelihood estimation for random effect models. Nonparametric maximum likelihood estimation or Gaussian quadrature...
  • spBayesSurv

  • Referenced in 7 articles [sw16371]
  • spatial/non-spatial survival data: marginal Bayesian Nonparametric models, marginal Bayesian proportional hazards models, generalized accelerated failure...
  • msSurv

  • Referenced in 6 articles [sw22605]
  • package msSurv: Nonparametric Estimation for Multistate Models. Nonparametric estimation for right censored, left truncated time...
  • BayesTree

  • Referenced in 57 articles [sw07995]
  • develop a Bayesian “sum-of-trees” model where each tree is constrained by a regularization ... from a posterior. Effectively, BART is a nonparametric Bayesian regression approach which uses dimensionally adaptive ... particular, BART is defined by a statistical model: a prior and a likelihood. This approach...
  • MatchIt

  • Referenced in 12 articles [sw10538]
  • MatchIt: Nonparametric Preprocessing for Parametric Causal Inference. MatchIt implements the suggestions of Ho, Imai, King ... improving parametric statistical models by preprocessing data with nonparametric matching methods. MatchIt implements a wide ... hard-to-justify, but commonly made, statistical modeling assumptions. The software also easily fits into...
  • T-Rasch

  • Referenced in 9 articles [sw09516]
  • Nonparametric goodness-of-fit tests for the Rasch model. A Monte Carlo algorithm ... realizing a family of nonparametric tests for the Rasch model is introduced which are conditional...
  • prefmod

  • Referenced in 17 articles [sw08190]
  • class (mixture) models for paired comparison, rating and ranking patterns using a nonparametric ML approach...
  • GBMCI

  • Referenced in 2 articles [sw11476]
  • hazard. Here we propose a nonparametric model for survival analysis that does not explicitly assume ... particular forms of hazard functions. Our nonparametric model utilizes an ensemble of regression trees...
  • cpm

  • Referenced in 12 articles [sw14569]
  • Batch Change Detection Using Parametric and Nonparametric Methods. Sequential and batch change detection for univariate ... change point model framework. Functions are provided to allow nonparametric distribution-free change detection...