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-4.7-any)CBSr_1.0.5.tar.gz(r-4.6-any)
CBSr_1.0.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
CBSr/json (API)
NEWS

# Install 'CBSr' in R:
install.packages('CBSr', repos = c('https://cran.r-universe.dev', '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:

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

openjdk

1.70 score 203 downloads 3 exports 4 dependencies

Last updated from:474f99d20b. Checks:4 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK114
source / vignettesOK157
linux-release-x86_64OK148
wasm-releaseOK110

Exports:CBS_ITCCBS_RCCBSfunc

Dependencies:MASSNlcOptimquadprogrJava