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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>.

Versions across snapshots

VersionRepositoryFileSize
1.0.5 rolling linux/jammy R-4.5 CBSr_1.0.5.tar.gz 40.2 KiB
1.0.5 rolling linux/noble R-4.5 CBSr_1.0.5.tar.gz 40.2 KiB
1.0.5 rolling source/ R- CBSr_1.0.5.tar.gz 14.3 KiB
1.0.5 latest linux/jammy R-4.5 CBSr_1.0.5.tar.gz 40.2 KiB
1.0.5 latest linux/noble R-4.5 CBSr_1.0.5.tar.gz 40.2 KiB
1.0.5 latest source/ R- CBSr_1.0.5.tar.gz 14.3 KiB
1.0.5 2026-04-26 source/ R- CBSr_1.0.5.tar.gz 14.3 KiB
1.0.5 2026-04-23 source/ R- CBSr_1.0.5.tar.gz 14.3 KiB
1.0.5 2026-04-09 windows/windows R-4.5 CBSr_1.0.5.zip 43.5 KiB
1.0.5 2025-04-20 source/ R- CBSr_1.0.5.tar.gz 14.3 KiB

Dependencies (latest)

Imports