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
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

Documentation:

Reference manual:

CBSr.pdf

Downloads:

Package source:	CBSr_1.0.5.tar.gz
Windows binaries:	r-devel: CBSr_1.0.5.zip, r-release: CBSr_1.0.5.zip, r-oldrel: CBSr_1.0.5.zip
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

Linking:

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