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Package: DEEP
Type: Package
Title: Dynamic Experiments for Estimating Preferences (DEEP)
Version: 1.0
Date: 2015-12-05
Author: Seoungwoo L., Dan W., Luis S., Mark B.
Maintainer: Luis S. <luis@decisionsciences.columbia.edu>, Mark B.
<mark@decisionsciences.columbia.edu>
Description: DEEP is an dynamic estimation technique for Time Preference and
Risk Preference parameters. This package allows you to analyze the DEEP Time &
DEEP Risk output and obtain finalized parameters.
License: TBD - May be used for Academic Purposes ONLY. License requires
you to cite the paper by Toubia, O., Johnson, E., Evgeniou, T., & Delquie, P.
(2012).
LazyData: TRUE
RoxygenNote: 6.0.1
Depends: dplyr,
XML,
jsonlite,
MSBVAR,
MCMCpack,
httr,
RCurl
Suggests: knitr,
rmarkdown
VignetteBuilder: knitr
Imports: dplyr,
XML,
jsonlite,
MSBVAR,
MCMCpack,
RCurl