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CBSr  

Fits Cubic Bezier Spline Functions to Intertemporal and Risky Choice Data
View on CRAN: Click here


Download and install CBSr package within the R console
Install from CRAN:
install.packages("CBSr")

Install from Github:
library("remotes")
install_github("cran/CBSr")

Install by package version:
library("remotes")
install_version("CBSr", "1.0.5")



Attach the package and use:
library("CBSr")
Maintained by
Sangil Lee
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-02-22
Latest Update: 2021-02-20
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 .
How to cite:
Sangil Lee (2020). CBSr: Fits Cubic Bezier Spline Functions to Intertemporal and Risky Choice Data. R package version 1.0.5, https://cran.r-project.org/web/packages/CBSr. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.2 (2020-02-22 11:30), 1.0.3 (2020-02-23 01:20)
Other packages that cited CBSr R package
View CBSr citation profile
Other R packages that CBSr depends, imports, suggests or enhances
Complete documentation for CBSr
Functions, R codes and Examples using the CBSr R package
Some associated functions: CBS_ITC . CBS_RC . CBSfunc . ITCdat . RCdat . 
Some associated R codes: CBS_ITC.R . CBS_RC.R . CBSfunc.R . data.R . utils.R . zzz.R .  Full CBSr package functions and examples
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