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 |
| 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-release: CBSr_1.0.3.zip, r-oldrel: CBSr_1.0.3.zip |
| macOS binaries: | r-release: CBSr_1.0.3.tgz, r-oldrel: CBSr_1.0.3.tgz |
| Old sources: | CBSr archive |
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