• fmixed

  • Referenced in 1 article [sw37318]
  • fmixed: A SAS Macro for Smoothing-Spline-Based Functional Mixed Effects Models. In this article ... implement the smoothing-spline-based functional mixed effects models (Guo 2002) by a SAS macro ... connection between mixed effects models and smoothing splines. The macro can handle flexible design matrices...
  • bigsplines

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

  • Referenced in 1 article [sw26181]
  • functions to fit M-type smoothing splines with the smoothing parameter chosen by a robust ... selection of the smoothing parameter for smoothing splines. Statistics and Computing...
  • sspline

  • Referenced in 1 article [sw24255]
  • package sspline: Smoothing Splines on the Sphere. R package for computing the spherical smoothing splines...
  • npreg

  • Referenced in 1 article [sw41482]
  • package npreg: Nonparametric Regression via Smoothing Splines. Multiple and generalized nonparametric regression using smoothing spline ... mixed types, and eight different methods for smoothing parameter selection...
  • ODsplines

  • Referenced in 1 article [sw32120]
  • Optimal design for adaptive smoothing splines. We consider the design problem of collecting temporal/longitudinal data ... adaptive smoothing spline is used as the analysis model where the prior curvature information ... naturally incorporated as a weighted smoothness penalty. The estimator of the curve is expressed...
  • PHMPL

  • Referenced in 3 articles [sw29636]
  • solution is approximated using splines. The smoothing parameter is chosen using approximate cross-validation. Confidence...
  • BPST

  • Referenced in 1 article [sw40149]
  • Package BPST: Spline smoothing via bivariate spline over triangulation...
  • Algorithm 547

  • Referenced in 3 articles [sw29828]
  • Fortran routines for discrete cubic spline interpolation and smoothing...
  • LOWLAD

  • Referenced in 1 article [sw02678]
  • locally weighted $L\sb 1$ smoothing spline algorithm with cross validated choice of smoothing parameters...
  • ebsc

  • Referenced in 1 article [sw21064]
  • statistical model of the empirical smoothing splines under correlated errors was developed...
  • scsd

  • Referenced in 1 article [sw21065]
  • scsd. Signal decomposition under empirical Bayesian smoothing splines with correlated errors is implemented...
  • eBsc

  • Referenced in 1 article [sw42213]
  • package eBsc: ”Empirical Bayes Smoothing Splines with Correlated Errors”. Presents a statistical method that uses...
  • cosso

  • Referenced in 1 article [sw23471]
  • thresholding penalty in the context of smoothing spline ANOVA models. Implemented models include mean regression...
  • CDGAM

  • Referenced in 1 article [sw26138]
  • include components from the family of smoothing splines...
  • PROC GAM

  • Referenced in 1 article [sw12075]
  • TPSPLINE procedure for thin-plate smoothing splines. The generalized additive models...
  • Proc_R_med

  • Referenced in 1 article [sw36092]
  • also multiple additive regression trees and smoothing splines by Yu and Li (2017). The method...
  • ibr

  • Referenced in 7 articles [sw11227]
  • selecting an optimal smoothing parameter), such as thin-plate spline or kernel smoothers. The resulting...
  • CIP

  • Referenced in 2 articles [sw12675]
  • linear) curve fitting and data smoothing (with cubic splines), clustering (k-medoids...
  • boostmtree

  • Referenced in 2 articles [sw20721]
  • using penalized B-splines (P-splines) with estimated adaptive smoothing parameter...