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-4.7-any)CBSr_1.0.5.zip(r-4.6-any)CBSr_1.0.5.zip(r-4.5-any)
CBSr_1.0.5.tgz(r-4.6-any)CBSr_1.0.5.tgz(r-4.5-any)
CBSr_1.0.5.tar.gz(r-4.7-any)CBSr_1.0.5.tar.gz(r-4.6-any)
CBSr_1.0.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
CBSr/json (API)
| # 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 from:aba8f992e5. Checks:9 OK. Indexed: yes.
