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 |
Reference manual: | CBSr.pdf |
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: CBSr_1.0.5.tgz, r-oldrel: CBSr_1.0.3.tgz |
Old sources: | CBSr archive |
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