RcmdrPlugin.DCCV-package: R Commander Plug-in for Parametric Analysis of Dichotomous...

In RcmdrPlugin.DCCV: R Commander Plug-in for Dichotomous Choice Contingent Valuation

R Commander Plug-in for Parametric Analysis of Dichotomous Choice Contingent Valuation Data

Description

This package adds menu items to the R Commander for parametric analysis of dichotomous choice contingent valuation (DCCV) data. CV is a question-based survey method to elicit individuals' preferences for goods and services. This package depends on functions regarding parametric DCCV analysis in the package DCchoice. See Carson and Hanemann (2005) <doi:10.1016/S1574-0099(05)02017-6> for DCCV.

Details

This package is an R Commander plug-in package for parametric analysis of dichotomous choice contingent valuation (DCCV) data. It depends on DCchoice (Nakatani et al. 2020) and Rcmdr (Fox 2005, 2017; Fox and Bouchet-Valat 2020). Refer to DCchoice, Aizaki et al. (2014, 2022), and ‘Non-Market Valuation with R’ <https://nmvr.skr.jp/> for a brief introduction to DCCV in R. A manual for this package is available at <https://sites.google.com/view/r4sp/rcmdrplugin>

After successfully installing and loading RcmdrPlugin.DCCV, the R Commander window will appear, and then you will find ‘DCCV’ added to the top-level menus in the R Commander window.

Selecting ‘DCCV’ displays some menu items. When selecting a menu item, the corresponding dialog box opens. The following dialog boxes are provided by RcmdrPlugin.DCCV:

• The dialog box for ‘Collect responses...’ displays three types of dialog boxes to collect user's responses to DCCV questions.

• The dialog box for ‘Fit Model...’ implements a parametric analysis of DCCV data using sbchoice (single-bounded DCCV), oohbchoice (one-and-one-half-bounded DCCV), or dbchoice (double-bounded DCCV) in DCchoice.

• The dialog box for ‘Calculate confidence intervals for WTP...’ calculates confidence intervals for willigness to pay (WTP) from the fitted model using krCI or bootCI in DCchoice.

• The dialog box for ‘Draw survival function...’ draws a survival function of the fitted model using plot.sbchoice or plot.dbchoice in DCchoice.

Acknowledgments

This work was supported by JSPS KAKENHI Grant Number JP20K06251.

Author(s)

Hideo Aizaki

References

Aizaki H, Nakatani T, Sato K, Fogarty J (2022) R Package DCchoice for Dichotomous Choice Contingent Valuation: A Contribution to Open Scientific Software and its Impact. Japanese Journal of Statistics and Data Science, 5: 871–884. DOI: 10.1007/s42081-022-00171-1.

Aizaki H, Nakatani T, Sato K (2014) Stated Preference Methods Using R. Chapman and Hall/CRC. DOI: 10.1201/b17292.

Carson RT, Hanemann WM (2005) Contingent valuation. In KG Maler, JR Vincent (eds), Handbook of Environmental Economics, Volume 2, Chapter 17, pp. 821–936. Elsevier. DOI: 10.1016/S1574-0099(05)02017-6.

Fox J (2005) The R Commander: A Basic Statistics Graphical User Interface to R. Journal of Statistical Software, 14(9): 1–42. DOI: 10.18637/jss.v014.i09.

Fox J (2017) Using the R Commander: A Point-and-Click Interface for R. Chapman and Hall/CRC. DOI: 10.1201/9781315380537.

Fox J, Bouchet-Valat M (2020) Rcmdr: R Commander. R package version 2.7-1. https://cran.r-project.org/package=Rcmdr.

Nakatani T, Aizaki H, Sato K (2020) DCchoice: Analyzing Dichotomous Choice Contingent Valuation Data. R package 0.0.17. https://cran.r-project.org/package=DCchoice.

Examples

if (interactive()) {
  library(RcmdrPlugin.DCCV)
}

RcmdrPlugin.DCCV documentation built on June 8, 2025, 1:29 p.m.