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:
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 = c('https://cran.r-universe.dev', '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.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:0cfb9158b8. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 25 2024 |
| R-4.5-linux | OK | Oct 25 2024 |
Exports:conspline
Dependencies:coneprojRcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Partial Linear Least-squares Regression with Constrained Splines | ConSpline-package ConSpline |
| Partial Linear Least-Squares with Constrained Regression Splines | conspline |
| Voting Data for Counties in Georgia, for the 2000 U.S. Presidential Election | GAVoting |
| Height and Diameter of 36 White Spruce trees. | WhiteSpruce |