Package: ConSpline 1.2

Mary C Meyer

ConSpline: Partial Linear Least-Squares Regression using Constrained Splines

Given response y, continuous predictor x, and covariate matrix, the relationship between E(y) and x is estimated with a shape constrained regression spline. Function outputs fits and various types of inference.

Authors:Mary C Meyer

ConSpline_1.2.tar.gz
ConSpline_1.2.tar.gz(r-4.5-noble)ConSpline_1.2.tar.gz(r-4.4-noble)
ConSpline_1.2.tgz(r-4.4-emscripten)
ConSpline.pdf |ConSpline.html✨
ConSpline/json (API)

# Install 'ConSpline' in R:
install.packages('ConSpline', repos = 'https://cloud.r-project.org')
Datasets:
  • GAVoting - Voting Data for Counties in Georgia, for the 2000 U.S. Presidential Election
  • WhiteSpruce - Height and Diameter of 36 White Spruce trees.

On CRAN:

Conda:

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

1.30 score 2 stars 193 downloads 1 mentions 1 exports 3 dependencies

Last updated 8 years agofrom:0cfb9158b8. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 24 2025
R-4.5-linuxOKMar 24 2025
R-4.4-linuxOKMar 24 2025

Exports:conspline

Dependencies:coneprojRcppRcppArmadillo

Citation

To cite package ‘ConSpline’ in publications use:

Meyer MC (2017). ConSpline: Partial Linear Least-Squares Regression using Constrained Splines. R package version 1.2, https://CRAN.R-project.org/package=ConSpline.

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 = {ConSpline: Partial Linear Least-Squares Regression using
      Constrained Splines},
    author = {Mary C Meyer},
    year = {2017},
    note = {R package version 1.2},
    url = {https://CRAN.R-project.org/package=ConSpline},
  }