https://glmgen.r-universe.devRecent package updates in glmgenR-universehttps://github.com/glmgen.pnghttps://glmgen.r-universe.devTue, 24 Mar 2026 15:10:14 GMTryantibs@gmail.com (Ryan Tibshirani)Discrete splines are a class of univariate piecewise polynomial functions which are analogous to splines, but whose smoothness is defined via divided differences rather than derivatives. Tools for efficient computations relating to discrete splines are provided here. These tools include discrete differentiation and integration, various matrix computations with discrete derivative or discrete spline bases matrices, and interpolation within discrete spline spaces. These techniques are described in Tibshirani (2020) <doi:10.48550/arXiv.2003.03886>.https://github.com/r-universe/glmgen/actions/runs/26328516904Tue, 24 Mar 2026 15:10:14 GMTdspline1.0.4.9000successhttps://glmgen.r-universe.devhttps://github.com/glmgen/dsplinedspline.Rmddspline.htmlIntroduction to dspline2022-05-30 18:49:292025-06-02 23:29:50ryantibs@gmail.com (Ryan Tibshirani)Total variation denoising can be used to approximate a given sequence of noisy observations by a piecewise constant sequence, with adaptively-chosen break points. An efficient linear-time algorithm for total variation denoising is provided here, based on Johnson (2013) <doi:10.1080/10618600.2012.681238>.https://github.com/r-universe/glmgen/actions/runs/26210905231Fri, 13 Jun 2025 15:13:24 GMTtvdenoising1.0.0.9000successhttps://glmgen.r-universe.devhttps://github.com/glmgen/tvdenoising