Package: bigsplines 1.1-1

Nathaniel E. Helwig

bigsplines: Smoothing Splines for Large Samples

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.

Authors:Nathaniel E. Helwig <helwig@umn.edu>

bigsplines_1.1-1.tar.gz
bigsplines_1.1-1.tar.gz(r-4.5-noble)bigsplines_1.1-1.tar.gz(r-4.4-noble)
bigsplines_1.1-1.tgz(r-4.4-emscripten)bigsplines_1.1-1.tgz(r-4.3-emscripten)
bigsplines.pdf |bigsplines.html✨
bigsplines/json (API)

# Install 'bigsplines' in R:
install.packages('bigsplines', repos = 'https://cloud.r-project.org')

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

fortran

1.78 score 2 packages 542 downloads 1 mentions 87 exports 1 dependencies

Last updated 7 years agofrom:9ddb95e9af. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 28 2025
R-4.5-linux-x86_64OKMar 28 2025
R-4.4-linux-x86_64OKMar 28 2025

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Dependencies:quadprog

Citation

To cite package ‘bigsplines’ in publications use:

Helwig NE (2018). bigsplines: Smoothing Splines for Large Samples. R package version 1.1-1, https://CRAN.R-project.org/package=bigsplines.

ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.

Corresponding BibTeX entry: 

  @Manual{,
    title = {bigsplines: Smoothing Splines for Large Samples},
    author = {Nathaniel E. Helwig},
    year = {2018},
    note = {R package version 1.1-1},
    url = {https://CRAN.R-project.org/package=bigsplines},
  }