Package: CBSr 1.0.5
CBSr: Fits Cubic Bezier Spline Functions to Intertemporal and Risky Choice Data
Uses monotonically constrained Cubic Bezier Splines (CBS) to approximate latent utility functions in intertemporal choice and risky choice data. For more information, see Lee, Glaze, Bradlow, and Kable <doi:10.1007/s11336-020-09723-4>.
Authors:
CBSr_1.0.5.tar.gz
CBSr_1.0.5.zip(r-4.5)CBSr_1.0.5.zip(r-4.4)CBSr_1.0.5.zip(r-4.3)
CBSr_1.0.5.tgz(r-4.4-any)CBSr_1.0.5.tgz(r-4.3-any)
CBSr_1.0.5.tar.gz(r-4.5-noble)CBSr_1.0.5.tar.gz(r-4.4-noble)
CBSr_1.0.5.tgz(r-4.4-emscripten)CBSr_1.0.5.tgz(r-4.3-emscripten)
CBSr.pdf |CBSr.html✨
CBSr/json (API)
NEWS
| # Install 'CBSr' in R: |
| install.packages('CBSr', repos = c('https://sangillee.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/sangillee/cbsr/issues
Datasets:
Last updated 4 years agofrom:aba8f992e5. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 10 2024 |
| R-4.5-win | OK | Nov 10 2024 |
| R-4.5-linux | OK | Nov 10 2024 |
| R-4.4-win | OK | Nov 10 2024 |
| R-4.4-mac | OK | Nov 10 2024 |
| R-4.3-win | OK | Nov 10 2024 |
| R-4.3-mac | OK | Nov 10 2024 |
