• SemiPar

  • Referenced in 640 articles [sw07116]
  • semiparametric regression is based on penalized regression splines and mixed models. Every model in this ... scientists with only a moderate background in regression, though familiarity with matrix and linear algebra...
  • CMARS

  • Referenced in 24 articles [sw08523]
  • nonparametric regression with multivariate adaptive regression splines supported by continuous optimization Regression analysis ... modelling relationships between variables. Multivariate adaptive regression splines (MARS) especially is very useful for high...
  • earth

  • Referenced in 15 articles [sw08019]
  • package earth: Multivariate Adaptive Regression Spline Models. Build regression models using the techniques in Friedman ... papers ”Fast MARS” and ”Multivariate Adaptive Regression Splines”. (The term ”MARS” is copyrighted and thus...
  • mda

  • Referenced in 18 articles [sw10631]
  • flexible discriminant analysis, multivariate adaptive regression splines (MARS), BRUTO...
  • gss

  • Referenced in 252 articles [sw06099]
  • multivariate settings number far less. Smoothing spline ANOVA models are a versatile family of smoothing ... unified framework. Methods are developed for (i) regression with Gaussian and non-Gaussian responses...
  • crs

  • Referenced in 5 articles [sw14045]
  • package crs: Categorical Regression Splines. Regression splines that handle a mix of continuous and categorical...
  • ARESLab

  • Referenced in 4 articles [sw11786]
  • ARESLab: adaptive regression splines toolbox for Matlab. ARESLab is a Matlab/Octave toolbox for building piecewise ... linear and piecewise-cubic regression models ... using Jerome Friedman’s Multivariate Adaptive Regression Splines technique (also known as MARS). Multivariate Adaptive ... Regression Splines have the ability to model complex and high-dimensional data dependencies. The model...
  • SemiParSampleSel

  • Referenced in 4 articles [sw24025]
  • Copula Regression Spline Sample Selection Models: The R Package SemiParSampleSel. Sample selection models deal with ... package SemiParSampleSel which implements copula regression spline sample selection models. The proposed implementation can deal...
  • BARS

  • Referenced in 4 articles [sw10487]
  • Implementation of Bayesian Adaptive Regression Splines (BARS) in C with S and R Wrappers. BARS ... jump MCMC engine to perform spline-based generalized nonparametric regression. It has been shown ... needed subroutines for fitting Poisson regression, manipulating B-splines (using code created by Bates...
  • cobs

  • Referenced in 6 articles [sw21863]
  • Splines (Sparse Matrix Based). Qualitatively Constrained (Regression) Smoothing Splines via Linear Programming and Sparse Matrices...
  • GCVPACK

  • Referenced in 13 articles [sw31699]
  • data smoothing including ridge regression, thin plate smoothing splines, deconvolution, smoothing of generalized linear models...
  • bigsplines

  • Referenced in 2 articles [sw16387]
  • package bigsplines. Fits smoothing spline regression models using scalable algorithms designed for large samples...
  • cpr

  • Referenced in 1 article [sw20286]
  • Package For Finding Parsimonious B-Spline Regression Models via Control Polygon Reduction and Control ... tools for selection of parsimonious B-spline regression models via algorithms coined `control polygon reduction ... reduction’ (CNR). B-Splines are commonly used in regression models to smooth data and approximate ... unknown functional forms. B-Splines are defined by a polynomial order and a knot sequence...
  • uniReg

  • Referenced in 1 article [sw25501]
  • package uniReg: Unimodal Penalized Spline Regression using B-Splines. Univariate spline regression. It is possible ... self-defined penalties on the B-spline coefficients...
  • polspline

  • Referenced in 5 articles [sw14736]
  • Routines. Routines for the polynomial spline fitting routines hazard regression, hazard estimation with flexible tails...
  • MortalitySmooth

  • Referenced in 11 articles [sw10483]
  • splines and generalized linear array models are employed as a suitable regression methodology. Extra-Poisson...
  • splines2

  • Referenced in 1 article [sw32945]
  • package splines2: Regression Spline Functions and Classes. Constructs B-splines and its integral, monotone splines...
  • PCDSpline

  • Referenced in 1 article [sw31379]
  • panel count data using monotone splines. Semiparametric regression analysis of panel count data under ... with and without Gamma frailty using monotone splines...
  • AdaptFit

  • Referenced in 2 articles [sw10486]
  • SemiPar package fits semiparametric regression models with spatially adaptive penalized splines...
  • McSpatial

  • Referenced in 2 articles [sw16522]
  • regression, semiparametric and conditionally parametric regression, fourier and cubic spline functions, GMM and linearized spatial ... density functions and counterfactuals, nonparametric quantile regression and conditional density functions, Machado-Mata decomposition...