• erboost

  • Referenced in 6 articles [sw26258]
  • Nonparametric Multiple Expectile Regression via ER-Boost. Expectile regression is a nice tool for estimating ... regression tree based gradient boosting estimator for nonparametric multiple expectile regression...
  • ROCKET

  • Referenced in 10 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...
  • SPECIES

  • Referenced in 6 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...
  • 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...
  • TwoCop

  • Referenced in 51 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...
  • 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...
  • prodlim

  • Referenced in 2 articles [sw24651]
  • Fast and user friendly implementation of nonparametric estimators for censored event history (survival) analysis. Kaplan...
  • npsp

  • Referenced in 2 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...
  • PROC LIFETEST

  • Referenced in 2 articles [sw29282]
  • PROC LIFETEST is to request the nonparametric estimates of the survivor function for a sample...
  • ifs

  • Referenced in 2 articles [sw10525]
  • Nonparametric estimation by iterated function systems and optimization problems: ... We study relative efficiency...
  • SmoothHR

  • Referenced in 2 articles [sw11464]
  • SmoothHR: an R package for pointwise nonparametric estimation of hazard ratio curves of continuous predictors...
  • ConvexHaz

  • Referenced in 2 articles [sw23337]
  • contains functions to compute the nonparametric maximum likelihood estimator (MLE) and the nonparametric least squares...
  • MLEcens

  • Referenced in 5 articles [sw25116]
  • contains functions to compute the nonparametric maximum likelihood estimator (MLE) for the bivariate distribution...
  • BayesTree

  • Referenced in 58 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...
  • binnednp

  • Referenced in 1 article [sw31625]
  • package binnednp: Nonparametric Estimation for Interval-Grouped Data. Kernel density and distribution estimation for interval ... Bastida 2016) and nonparametric estimation of seedling emergence indices (Cao, Francisco-Fernandez...
  • npregfast

  • Referenced in 1 article [sw23053]
  • npregfast: An R Package for Nonparametric Estimation and Inference in Life Sciences. We present ... living organisms. The package implements nonparametric estimation procedures in regression models with or without factor...
  • sm

  • Referenced in 1 article [sw26319]
  • provides kernel smoothing methods for obtaining nonparametric estimates of density functions and regression curves ... purposes as, for instance, when a nonparametric estimate is used for checking a proposed parametric...