Package: bigsplines
Type: Package
Title: Smoothing Splines for Large Samples
Version: 1.1-1
Date: 2018-05-25
Author: Nathaniel E. Helwig <helwig@umn.edu>
Maintainer: Nathaniel E. Helwig <helwig@umn.edu>
Depends: quadprog
Imports: stats, graphics, grDevices
Description: Fits smoothing spline regression models using scalable
        algorithms designed for large samples. Seven marginal spline
        types are supported: linear, cubic, different cubic, cubic
        periodic, cubic thin-plate, ordinal, and nominal. Random
        effects and parametric effects are also supported. Response can
        be Gaussian or non-Gaussian: Binomial, Poisson, Gamma, Inverse
        Gaussian, or Negative Binomial.
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2026-09-22 09:42:48 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2018-05-25 05:47:54 UTC
RemoteUrl: https://github.com/cran/bigsplines
RemoteRef: HEAD
RemoteSha: 9ddb95e9af0852fa80c6b5a670b702acb1859e01