• WFMM

  • Referenced in 6 articles [sw36436]
  • computation. It provides as output nonparametric estimates of fixed and random effects functions that have...
  • ROCKET

  • Referenced in 13 articles [sw30016]
  • Gaussian model. Hence, it is an optimal estimator under a much larger family of distributions ... sparse spectral norm of the nonparametric Kendall’s tau estimator of the correlation matrix, which...
  • TPmsm

  • Referenced in 4 articles [sw22603]
  • estimation of transition probabilities. The usual nonparametric estimator of the transition matrix for non-homogeneous...
  • prodlim

  • Referenced in 4 articles [sw24651]
  • Fast and user friendly implementation of nonparametric estimators for censored event history (survival) analysis. Kaplan...
  • 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...
  • SPECIES

  • Referenced in 7 articles [sw14248]
  • confidence interval estimates of species number from a few nonparametric and semi-parametric methods ... methods based on nonparametric maximum likelihood estimation, the R functions are wrappers for Fortran codes...
  • TwoCop

  • Referenced in 60 articles [sw12359]
  • between two copulas. This package implements the nonparametric test of equality between two copulas proposed ... test of equality between two dependence structures estimated through empirical copulas. We provide inference...
  • BartPy

  • Referenced in 83 articles [sw40584]
  • from a posterior. Effectively, BART is a nonparametric Bayesian regression approach which uses dimensionally adaptive ... full posterior inference including point and interval estimates of the unknown regression function as well...
  • SmoothHR

  • Referenced in 3 articles [sw11464]
  • SmoothHR: an R package for pointwise nonparametric estimation of hazard ratio curves of continuous predictors...
  • phylodyn

  • Referenced in 3 articles [sw19813]
  • package main functionality is Bayesian nonparametric estimation of effective population size fluctuations over time...
  • lspartition

  • Referenced in 2 articles [sw30834]
  • package lspartition: Nonparametric Estimation and Inference Procedures using Partitioning-Based Least Squares Regression. Tools ... Farrell and Feng (2019b, ): lsprobust() for nonparametric point estimation of regression functions and their derivatives...
  • NPCD

  • Referenced in 3 articles [sw17212]
  • Cognitive Diagnosis. An array of nonparametric and parametric estimation methods for cognitive diagnostic models, including ... nonparametric classification of examinee attribute profiles, joint maximum likelihood estimation (JMLE) of examinee attribute profiles ... nonparametric refinement of the Q-matrix, as well as conditional maximum likelihood estimation (CMLE ... parameters given examinee attribute profiles. Currently the nonparametric methods in the package support both conjunctive...
  • NHPP

  • Referenced in 6 articles [sw03163]
  • method of the type of maximum likelihood estimation, which can be applied in the case ... completely unknown, we designed a nonparametric method for estimating the change-point...
  • ICSNP

  • Referenced in 17 articles [sw04545]
  • Tools for Multivariate Nonparametrics , Tools for multivariate nonparametrics, as location tests based on marginal ranks ... spatial signs computation, Hotelling’s T-test, estimates of shape...
  • book2.r

  • Referenced in 4 articles [sw23873]
  • BOOK2 ”Missing and Modified Data in Nonparametric Curve Estimation” By Sam Efromovich. Note: This software...
  • benchden

  • Referenced in 4 articles [sw11013]
  • distributions introduced as benchmarks for nonparametric density estimation by Berlinet and Devroye (1994). Includes densities...
  • orthoDr

  • Referenced in 2 articles [sw28510]
  • dimension reduction subspace. Second, the nonparametric estimation involved adapts to the structural dimension...
  • lpdensity

  • Referenced in 2 articles [sw37333]
  • stringent distributional assumptions or shape restrictions, nonparametric estimation has been popular in economics and other...
  • BayesTree

  • Referenced in 64 articles [sw07995]
  • from a posterior. Effectively, BART is a nonparametric Bayesian regression approach which uses dimensionally adaptive ... full posterior inference including point and interval estimates of the unknown regression function as well...
  • ATE

  • Referenced in 2 articles [sw35701]
  • Average Treatment Effects using Covariate Balancing. Nonparametric estimation and inference for average treatment effects based...