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.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://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:474f99d20b. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Sep 28 2024 |
R-4.5-linux | OK | Sep 28 2024 |