Package: CBSr 1.0.5

Sangil Lee

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:Sangil Lee [aut, cre]

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 = 'https://cloud.r-project.org')
Uses libs:
  • openjdk– OpenJDK Java runtime, using Hotspot JIT
Datasets:
  • ITCdat - Sample participant data from a binary intertemporal choice task
  • RCdat - Sample participant data from a binary risky choice task

On CRAN:

Conda-Forge:

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

openjdk

1.70 score 229 downloads 3 exports 4 dependencies

Last updated 4 years agofrom:474f99d20b. Checks:2 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKFeb 25 2025
R-4.5-linuxOKFeb 25 2025

Exports:CBS_ITCCBS_RCCBSfunc

Dependencies:MASSNlcOptimquadprogrJava