Title: Fits Cubic Bezier Spline Functions to Intertemporal and Risky
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>.
Imports: rJava (>= 0.9-11), NlcOptim (>= 0.6)

Description: 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>.

Description: 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>.

Title: Confidence Bound Target Algorithm
Description: The Confidence Bound Target (CBT) algorithm is designed for infinite arms bandit problem. It is shown that CBT algorithm achieves the regret lower bound for general reward distributions. Reference: Hock Peng Chan and Shouri Hu (2018) <arXiv:1805.11793>.

Description: Tools for creating and visualizing statistical process control charts. Control charts are used for monitoring measurement processes, such as those occurring in manufacturing.  The objective is to monitor the history of such processes and flag outlying measurements: out-of-control signals.  Montgomery, D. (2009, ISBN:978-0-470-16992-6) contains an extensive discussion of the methodology.

Author: Ignacio Gonz�lez, S�bastien D�jean
Description: The package provide a set of functions that extend the cancor function with new numerical and graphical outputs. It also include a regularized extension of the cannonical correlation analysis to deal with datasets with more variables than observations.
Packaged: Tue Feb 20 15:32:12 2007; sdejean