• 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...