Package: CBSr
Type: Package
Title: Fits Cubic Bezier Spline Functions to Intertemporal and Risky
        Choice Data
Version: 1.0.2
Authors@R: person("Sangil", "Lee", email = "sangillee3rd@gmail.com", role = c("aut", "cre"))
Description: While Cubic Bezier Splines (CBS) are heavily used in the graphics software industry, it can also be used as a flexible function
    approximation tool given the right constraints. 'CBSr' provides a method to calculate the y value from a x value given
    an appropriately constrained CBS curve. It then uses this method to approximate latent utility functions in intertemporal choice
    and risky choice data. Lee, Glaze, Bradlow, Kable, (2019) <doi:10.31234/osf.io/2ugwr>.
License: GPL-3
Depends: R (>= 3.5)
Encoding: UTF-8
LazyData: true
Imports: rJava (>= 0.9-11), NlcOptim (>= 0.6)
SystemRequirements: Java (>= 7.0)
NeedsCompilation: no
RoxygenNote: 7.0.2
Packaged: 2020-02-16 15:54:26 UTC; sangi
Author: Sangil Lee [aut, cre]
Maintainer: Sangil Lee <sangillee3rd@gmail.com>
Repository: CRAN
Date/Publication: 2020-02-22 10:30:02 UTC
