• 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...
  • ftnonpar

  • Referenced in 67 articles [sw11128]
  • contains R-functions to perform the methods in nonparametric regression and density estimation, described ... Strings and Multiresolution (with discussion) Annals of Statistics. 29. p1-65 Davies...
  • BayesTree

  • Referenced in 59 articles [sw07995]
  • nonparametric Bayesian regression approach which uses dimensionally adaptive random basis elements. Motivated by ensemble methods ... particular, BART is defined by a statistical model: a prior and a likelihood. This approach...
  • MatchIt

  • Referenced in 13 articles [sw10538]
  • 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...
  • WRS2

  • Referenced in 24 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...
  • CMARS

  • Referenced in 27 articles [sw08523]
  • CMARS: A new contribution to nonparametric regression with multivariate adaptive regression splines supported by continuous ... Regression analysis is a widely used statistical method for modelling relationships between variables. Multivariate adaptive...
  • 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 ... analysis of variance, demonstrated the different methods available, and showed in which situations each ... linear models (GLMs), mixed effect models, and nonparametric regression models. The author’s treatment...
  • RAMAS Risk Calc

  • Referenced in 19 articles [sw09590]
  • require you to specify precise details of statistical distributions and their dependency relationships when empirical ... Calc makes new methods available for conducting distribution-free or nonparametric risk analyses. You decide...
  • TESTIMATE

  • Referenced in 2 articles [sw00958]
  • TESTIMATE: A statistical package with special reference to nonparametric methods...
  • decon

  • Referenced in 19 articles [sw11088]
  • distribution function from contaminated data; (2) nonparametric regression model with errors-in-variables ... data to the deconvolution kernel estimation. Several methods for the selection of the data-driven ... models: The R package decon. Journal of Statistical Software...
  • npsp

  • Referenced in 3 articles [sw31433]
  • Spatial Statistics. Multidimensional nonparametric spatio-temporal (geo)statistics. S3 classes and methods for multidimensional: linear ... polynomial kernel regression, density and variogram estimation. Nonparametric methods for simultaneous inference on both spatial...
  • MultNonParam

  • Referenced in 0 articles [sw16584]
  • support an MS level course in nonparametric statistical methods. Methods include adjustments for multiple comparisons...
  • vx_dbel

  • Referenced in 3 articles [sw37455]
  • that recent statistical software packages do not sufficiently address K-sample nonparametric comparisons of data ... proposed tests, we use the following methods: 1) a classical technique based on Monte Carlo ... technique that combines methods 1 and 2. The third, cutting-edge method is shown ... method considers tabulated critical values as prior information and Monte Carlo generations of test statistic...
  • rsatoolbox

  • Referenced in 1 article [sw32148]
  • statistically test and compare the models using nonparametric inference methods. The toolbox supports searchlight-based...
  • RAGNU

  • Referenced in 3 articles [sw09591]
  • this class of nonparametric methods as MP-based methods. Recently, a number of research studies ... based methods can provide more accurate classification results than existing parametric statistical methods, such ... hence are beyond the reach of those statistical analysts who are unfamiliar with mathematical programming ... classification methods. Therefore, we believe that RAGNU contributes significantly to the field of nonparametric classification...
  • sm

  • Referenced in 1 article [sw26319]
  • library, a software for applying nonparametric kernel smoothing methods. The original version ... statistical methods implemented. The sm library provides kernel smoothing methods for obtaining nonparametric estimates...
  • roc

  • Referenced in 2 articles [sw37359]
  • variance of the area under the nonparametric receiver operating characteristic curve. The area under ... predictive power of statistical models for binary outcomes. Parametric maximum likelihood methods for fitting ... under the ROC curve and its variance. Nonparametric methods, on the other hand, provide estimates...
  • nprobust

  • Referenced in 2 articles [sw30833]
  • package nprobust: Nonparametric Robust Estimation and Inference Methods using Local Polynomial Regression and Kernel Density ... Estimation. Tools for data-driven statistical analysis using local polynomial regression and kernel density estimation...
  • mable

  • Referenced in 1 article [sw31264]
  • methods proposed by the author this package published in the Journal of Nonparametric Statistics: Guan...
  • AWC

  • Referenced in 3 articles [sw26992]
  • iterative procedure based on statistical test of ”no gap”. Method does not require specifying number ... algorithm is available on arXiv: Adaptive Nonparametric Clustering...