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. PsyArXiv preprint: Lee, Glaze, Bradlow, Kable, (2019) <doi:10.31234/osf.io/2ugwr>.

Version: 1.0.3
Depends: R (≥ 3.5)
Imports: rJava (≥ 0.9-11), NlcOptim (≥ 0.6)
Published: 2020-02-23
Author: Sangil Lee [aut, cre]
Maintainer: Sangil Lee <sangillee3rd at gmail.com>
License: GPL-3
NeedsCompilation: no
SystemRequirements: Java (>= 7.0)
Materials: README NEWS
CRAN checks: CBSr results

Downloads:

Reference manual: CBSr.pdf
Vignettes: PsyArXiv_manuscript
Package source: CBSr_1.0.3.tar.gz
Windows binaries: r-devel: CBSr_1.0.3.zip, r-devel-gcc8: CBSr_1.0.3.zip, r-release: CBSr_1.0.3.zip, r-oldrel: CBSr_1.0.3.zip
OS X binaries: r-release: CBSr_1.0.3.tgz, r-oldrel: CBSr_1.0.3.tgz
Old sources: CBSr archive

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