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 = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

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

1.70 score 217 downloads 3 exports 4 dependencies

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

TargetResultDate
Doc / VignettesOKSep 28 2024
R-4.5-linuxOKSep 28 2024

Exports:CBS_ITCCBS_RCCBSfunc

Dependencies:MASSNlcOptimquadprogrJava