
KernSmooth
 Referenced in 921 articles
[sw04586]
 smoothers the authors concentrate on the simplest nonparametric curve estimation setting, namely density and regression ... book only a basic knowledge of statistics, calculus and matrix algebra is assumed...

SAS/STAT
 Referenced in 418 articles
[sw18788]
 statistical tools for a wide range of statistical analyses, including analysis of variance, regression, categorical ... survival analysis, psychometric analysis, cluster analysis, and nonparametric analysis. A few examples include mixed models...

S+WAVELETS
 Referenced in 36 articles
[sw12244]
 Plus language for data analysis, statistics, and scientific computing. The module is oriented towards engineers ... diverse as data visualization and analysis, nonparametric statistical estimation, signal and image compression, signal processing...

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...

SemiPar
 Referenced in 697 articles
[sw07116]
 this book the authors argue that nonparametric regression can be viewed as a relatively simple ... that they are aiming at consists of statistically oriented scientists who have a good working...

animation
 Referenced in 8 articles
[sw11112]
 probability theory, mathematical statistics, multivariate statistics, nonparametric statistics, sampling survey, linear models, time series, computational...

ftnonpar
 Referenced in 67 articles
[sw11128]
 functions to perform the methods in nonparametric regression and density estimation, described in Davies ... Strings and Multiresolution (with discussion) Annals of Statistics. 29. p165 Davies...

faraway
 Referenced in 23 articles
[sw04357]
 nonparametric regression models. Linear models are central to the practice of statistics and form ... foundation of a vast range of statistical methodologies. Julian J. Faraway’s critically acclaimed Linear ... linear models (GLMs), mixed effect models, and nonparametric regression models. The author’s treatment ... even the use of neural networks in statistics. To demonstrate the interplay of theory...

MatchIt
 Referenced in 13 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...

eRm
 Referenced in 23 articles
[sw06658]
 MartinLoefTest, nonparametric MonteCarlo Tests, itemfit and personfit statistics including infit and outfit...

npsp
 Referenced in 3 articles
[sw31433]
 package npsp: Nonparametric Spatial Statistics. Multidimensional nonparametric spatiotemporal (geo)statistics. S3 classes and methods ... polynomial kernel regression, density and variogram estimation. Nonparametric methods for simultaneous inference on both spatial...

BayesTree
 Referenced in 59 articles
[sw07995]
 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...

minerva
 Referenced in 5 articles
[sw10632]
 cmine implementation of Maximal Informationbased Nonparametric Exploration statistics (MIC and MINE family...

TwoCop
 Referenced in 52 articles
[sw12359]
 between two copulas. This package implements the nonparametric test of equality between two copulas proposed ... values of the Cramérvon Mises test statistic. Finite sample properties are assessed with Monte...

SapsDE
 Referenced in 2 articles
[sw10863]
 dimensions, and diverse complexities are used. Nonparametric statistical procedures were performed for multiple comparisons between...

CMARS
 Referenced in 27 articles
[sw08523]
 CMARS: A new contribution to nonparametric regression with multivariate adaptive regression splines supported by continuous ... optimization Regression analysis is a widely used statistical method for modelling relationships between variables. Multivariate...

SnPM
 Referenced in 1 article
[sw19470]
 SnPM  Statistical NonParametric Mapping  A toolbox for SPM. The Statistical nonParametric Mapping toolbox provides ... General Linear Model and pseudo tstatistics for independent observations...

WRS2
 Referenced in 22 articles
[sw16389]
 package WRS2. A collection of robust statistical methods based on Wilcox’ WRS functions. It implements ... quantile ANOVA, robust correlation, robust mediation, and nonparametric ANCOVA models based on robust location measures...

Multitree
 Referenced in 12 articles
[sw11744]
 goodnessoffit statistics, hypothesis testing, checks for identifiability, parametric and nonparametric bootstrapping, and power...

CORN
 Referenced in 6 articles
[sw15436]
 CORN effectively exploits statistical relations between stock market windows via a nonparametric learning approach...