lgspline: Lagrangian Multiplier Smoothing Splines for Smooth Function Estimation

Implements Lagrangian multiplier smoothing splines for flexible nonparametric regression and function estimation. Provides tools for fitting, prediction, and inference using a constrained optimization approach to enforce smoothness. Supports generalized linear models, Weibull accelerated failure time (AFT) models, quadratic programming problems, and customizable arbitrary correlation structures. Options for fitting in parallel are provided. The method builds upon the framework described by Ezhov et al. (2018) <doi:10.1515/jag-2017-0029> using Lagrangian multipliers to fit cubic splines. For more information on correlation structure estimation, see Searle et al. (2009) <ISBN:978-0470009598>. For quadratic programming and constrained optimization in general, see Nocedal & Wright (2006) <doi:10.1007/978-0-387-40065-5>. For a comprehensive background on smoothing splines, see Wahba (1990) <doi:10.1137/1.9781611970128> and Wood (2006) <ISBN:978-1584884743> "Generalized Additive Models: An Introduction with R".

Version:	0.2.0
Depends:	R (≥ 3.5.0)
Imports:	Rcpp (≥ 1.0.7), RcppArmadillo, FNN, RColorBrewer, plotly, quadprog, methods, stats
LinkingTo:	Rcpp, RcppArmadillo
Suggests:	testthat (≥ 3.0.0), spelling, knitr, rmarkdown, parallel, survival, graphics
Published:	2025-04-24
DOI:	10.32614/CRAN.package.lgspline
Author:	Matthew Davis [aut, cre]
Maintainer:	Matthew Davis <matthewlouisdavis at gmail.com>
BugReports:	https://github.com/matthewlouisdavisBioStat/lgspline/issues
License:	MIT + file LICENSE
URL:	https://github.com/matthewlouisdavisBioStat/lgspline
NeedsCompilation:	yes
Language:	en-US
Materials:	README
CRAN checks:	lgspline results

Documentation:

Reference manual:

lgspline.pdf

Downloads:

Package source:	lgspline_0.2.0.tar.gz
Windows binaries:	r-devel: not available, r-release: lgspline_0.1.0.zip, r-oldrel: lgspline_0.1.0.zip
macOS binaries:	r-release (arm64): lgspline_0.2.0.tgz, r-oldrel (arm64): lgspline_0.2.0.tgz, r-release (x86_64): lgspline_0.2.0.tgz, r-oldrel (x86_64): lgspline_0.2.0.tgz
Old sources:	lgspline archive

Linking:

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