Package: lgspline Type: Package Title: Lagrangian Multiplier Smoothing Splines for Smooth Function Estimation Version: 1.2.1 Authors@R: person("Matthew", "Davis", email = "matthewlouisdavis@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-9714-1018")) Description: 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, Cox proportional hazards models, quadratic programming constraints, and customizable working-correlation structures, with options for parallel fitting. The core spline construction builds on Ezhov et al. (2018) . Quadratic-programming and SQP details follow Goldfarb & Idnani (1983) and Nocedal & Wright (2006) . For smoothing spline and penalized spline background, see Wahba (1990) and Wood (2017) . For variance-component and correlation-parameter estimation, see Searle et al. (2006) . The default multivariate partitioning step uses k-means clustering as in MacQueen (1967). License: MIT + file LICENSE Language: en-US Depends: R (>= 3.5.0) Imports: Rcpp (>= 1.0.7), FNN, RColorBrewer, plotly, quadprog, methods, stats LinkingTo: Rcpp, RcppArmadillo Suggests: testthat (>= 3.0.0), spelling, knitr, rmarkdown, parallel, survival, MASS, graphics URL: https://github.com/matthewlouisdavisBioStat/lgspline BugReports: https://github.com/matthewlouisdavisBioStat/lgspline/issues Encoding: UTF-8 RoxygenNote: 7.3.2 Config/testthat/edition: 3 NeedsCompilation: yes Packaged: 2026-11-02 11:14:22 UTC; root Author: Matthew Davis [aut, cre] (ORCID: ) Maintainer: Matthew Davis Repository: https://cran.r-universe.dev Date/Publication: 2026-08-04 20:30:02 UTC RemoteUrl: https://github.com/cran/lgspline RemoteRef: HEAD RemoteSha: b0b1c8074b8fa1636472bbcf8c52192dc2068586