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.zip(r-4.7-any)CBSr_1.0.5.zip(r-4.6-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://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 288 downloads 3 exports 4 dependencies

Last updated from:474f99d20b. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-develOK106
source / vignettesOK180
linux-releaseOK110
windows-develOK68
windows-releaseOK66
wasm-releaseOK93

Exports:CBS_ITCCBS_RCCBSfunc

Dependencies:MASSNlcOptimquadprogrJava