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>.

Version: 1.0.5
Depends: R (≥ 3.5)
Imports: rJava (≥ 0.9-11), NlcOptim (≥ 0.6)
Published: 2021-02-20
DOI: 10.32614/CRAN.package.CBSr
Author: Sangil Lee [aut, cre]
Maintainer: Sangil Lee <sangillee3rd at>
License: GPL-3
NeedsCompilation: no
SystemRequirements: Java (>= 7.0)
Materials: README NEWS
CRAN checks: CBSr results


Reference manual: CBSr.pdf


Package source: CBSr_1.0.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): CBSr_1.0.5.tgz, r-oldrel (arm64): CBSr_1.0.5.tgz, r-release (x86_64): CBSr_1.0.5.tgz, r-oldrel (x86_64): CBSr_1.0.5.tgz
Old sources: CBSr archive


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