• StatLSSVM

  • Referenced in 1 article [sw24463]
  • Nonparametric Regression via StatLSSVM. We present a new MATLAB toolbox under Windows and Linux ... nonparametric regression estimation based on the statistical library for least squares support vector machines (StatLSSVM ... necessary in order to perform standard nonparametric regression, regression with correlated errors and robust regression...
  • semsfa

  • Referenced in 2 articles [sw33881]
  • first step semiparametric or nonparametric regression techniques are used to relax parametric restrictions...
  • regtools

  • Referenced in 1 article [sw27435]
  • Tools. Tools for linear, nonlinear and nonparametric regression and classification. Parametric fit assessment using nonparametric ... multiclass classification. Nonparametric regression for general dimension, locally-linear option. Nonlinear regression with Eickert-White...
  • regpro

  • Referenced in 1 article [sw19267]
  • package regpro: Nonparametric Regression. Tools are provided for (1) nonparametric regression (kernel, local linear...
  • NonpModelCheck

  • Referenced in 1 article [sw15235]
  • Model Checking and Variable Selection in Nonparametric Regression. Provides tests of significance for covariates ... groups of covariates) in a fully nonparametric regression model and a variable (or group) selection...
  • groc

  • Referenced in 1 article [sw24173]
  • Components. Robust multiple or multivariate linear regression, nonparametric regression on orthogonal components, classical or robust...
  • npROCRegression

  • Referenced in 1 article [sw32474]
  • Nonparametric ROC Regression Modelling. Implements several nonparametric regression approaches for the inclusion of covariate information...
  • pyStoNED

  • Referenced in 1 article [sw40063]
  • Regression and Frontier Estimation. Shape-constrained nonparametric regression is a growing area in econometrics, statistics ... expectile regression have bridged the long-standing gap between the conventional deterministic-nonparametric and stochastic ... user-friendly tool for the multivariate convex regression, convex ... quantile regression, convex expectile regression, isotonic regression, stochastic nonparametric envelopment of data, and related methods...
  • MedTree

  • Referenced in 3 articles [sw12469]
  • which is of use for nonparametric discrimination and regression. In this paper, we present...
  • monreg

  • Referenced in 2 articles [sw25513]
  • package monreg: Nonparametric Monotone Regression. Estimates monotone regression and variance functions in a nonparametric model...
  • quantreg.nonpar

  • Referenced in 1 article [sw37935]
  • Nonparametric Series Quantile Regression. Implements the nonparametric quantile regression method developed by Belloni, Chernozhukov ... derivatives based on series approximations to the nonparametric part of the model. Provides pointwise...
  • haldensify

  • Referenced in 1 article [sw35416]
  • Algorithms for nonparametric estimation of conditional densities based on a pooled hazard regression formulation ... highly adaptive lasso, a nonparametric regression function for efficient estimation with fast convergence under mild...
  • acepack

  • Referenced in 2 articles [sw32424]
  • AVAS for Selecting Multiple Regression Transformations. Two nonparametric methods for multiple regression transform selection...
  • cosso

  • Referenced in 1 article [sw23471]
  • package cosso: Fit Regularized Nonparametric Regression Models Using COSSO Penalty. COSSO is a new regularization...
  • McSpatial

  • Referenced in 2 articles [sw16522]
  • Locally weighted regression, semiparametric and conditionally parametric regression, fourier and cubic spline functions ... probit, k-density functions and counterfactuals, nonparametric quantile regression and conditional density functions, Machado-Mata...
  • KyPlot

  • Referenced in 2 articles [sw00496]
  • least squares or maximum likelihood methods, polynomial regression, B-spline fitting, piecewise polynomial interpolation ... procedures, such as various parametric and nonparametric tests, regression analysis, procedures for multivariate analysis (principal...
  • CVTresh

  • Referenced in 1 article [sw25942]
  • core of the wavelet approach to nonparametric regression is thresholding of wavelet coefficients. This paper...
  • MOTABAR

  • Referenced in 2 articles [sw12739]
  • Moving Taylor Bayesian regression for nonparametric multidimensional function estimation with possibly correlated errors. We study ... novel nonparametric method for estimating the value and several derivatives of an unknown, sufficiently smooth ... correlation structure. The method, moving Taylor Bayesian regression (MOTABAR), uses Bayesian updating to find...
  • BART

  • Referenced in 5 articles [sw32161]
  • Regression Trees. Bayesian Additive Regression Trees (BART) provide flexible nonparametric modeling of covariates for continuous...
  • lspartition

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