• KernSmooth

  • Referenced in 1008 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 438 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 38 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 761 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 10 articles [sw11112]
  • probability theory, mathematical statistics, multivariate statistics, nonparametric statistics, sampling survey, linear models, time series, computational...
  • bootlib

  • Referenced in 426 articles [sw40642]
  • Bootstrap methods are computer-intensive methods of statistical analysis using simulation to obtain reliable standard ... with single samples from parametric and nonparametric models. Chapter 3 extends the basic ideas...
  • MatchIt

  • Referenced in 17 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...
  • 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. p1-65 Davies...
  • faraway

  • Referenced in 24 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...
  • BartPy

  • Referenced in 83 articles [sw40584]
  • 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...
  • npsp

  • Referenced in 4 articles [sw31433]
  • package npsp: Nonparametric Spatial Statistics. Multidimensional nonparametric spatio-temporal (geo)statistics. S3 classes and methods ... polynomial kernel regression, density and variogram estimation. Nonparametric methods for simultaneous inference on both spatial...
  • eRm

  • Referenced in 24 articles [sw06658]
  • Martin-Loef-Test, nonparametric Monte-Carlo Tests, itemfit and personfit statistics including infit and outfit...
  • BayesTree

  • Referenced in 64 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...
  • TwoCop

  • Referenced in 60 articles [sw12359]
  • between two copulas. This package implements the nonparametric test of equality between two copulas proposed ... values of the Cramér-von Mises test statistic. Finite sample properties are assessed with Monte...
  • minerva

  • Referenced in 5 articles [sw10632]
  • cmine implementation of Maximal Information-based Nonparametric Exploration statistics (MIC and MINE family...
  • TDAstats

  • Referenced in 3 articles [sw31276]
  • homology calculations; (3) visualizing persistent homology and statistical inference. The published form of TDAstats ... permutation test is used for nonparametric statistical inference in topological data analysis, read Robinson & Turner...
  • WRS2

  • Referenced in 30 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 31 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...
  • SapsDE

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