
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 misspecification 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 mixedmodel 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 errorsinvariables...

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/nonspatial 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 “sumoftrees” 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 ... hardtojustify, but commonly made, statistical modeling assumptions. The software also easily fits into...

TRasch
 Referenced in 9 articles
[sw09516]
 Nonparametric goodnessoffit 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 distributionfree change detection...