RcmdrPlugin.DCE

CRAN: RcmdrPlugin.DCE citation info To cite RcmdrPlugin.DCE in publications use: Aizaki H (2025). RcmdrPlugin.DCE: R Commander Plug-in for Discrete Choice Experiments . R package version 0.3-1, https://CRAN.R-project.org/package=RcmdrPlugin.DCE . Aizaki H (2012). “Basic Functions for Supporting an Implementation of Choice Experiments in R.” Journal of Statistical Software , 50 (C2), 1–24. doi:10.18637/jss.v050.c02 . Corresponding BibTeX entries: @Manual{, title = {{RcmdrPlugin.DCE: R Commander Plug-in for Discrete Choice Experiments}}, author = {Hideo Aizaki}, year = {2025}, note = {R package version 0.3-1}, url = {https://CRAN.R-project.org/package=RcmdrPlugin.DCE}, } @Article{, title = {Basic Functions for Supporting an Implementation of Choice Experiments in {R}}, author = {Hideo Aizaki}, journal = {Journal of Statistical Software}, year = {2012}, volume = {50}, number = {C2}, pages = {1--24}, doi = {10.18637/jss.v050.c02}, }

Changes to package RcmdrPlugin.DCE

2025-06-14, version 0.3-1
- Modified appearance of dialog box.

2025-04-29, version 0.3-0
- Modified functions.
- Modified help files.
- Modified DESCRIPTION.
- Modified CITATION.

2025-04-12, version 0.2-5
- Modified DESCRIPTION.

2025-04-12, version 0.2-4
- Added the dialog box for collecting responses to questions.
- Added help file.
- Modified DESCRIPTION.

2024-05-21, version 0.2-3
- Modified functions.
- Modified help file.
- Modified DESCRIPTION.

2024-03-06, version 0.2-2
- Added help files.
- Modified appearances of dialog boxes.
- Modified function names.

2023-12-06, version 0.2-1
- Modified dialog boxes for designing choice sets, creating data set, and fitting model.

2023-11-07, version 0.2-0
- Removed two dialog boxes for design matrix.
- Modified the remaining dialog boxes.
- Added a new dialog box for creating interactions.
- Added a new dialog box for loading saved objects.

2023-07-04, version 0.1-3
- Modified the dialog box for fitting model.

2021-01-25, version 0.1-2
- First release to CRAN.

Help for package RcmdrPlugin.DCE const macros = { "\\R": "\\textsf{R}", "\\mbox": "\\text", "\\code": "\\texttt"}; function processMathHTML() { var l = document.getElementsByClassName('reqn'); for (let e of l) { katex.render(e.textContent, e, { throwOnError: false, macros }); } return; } Package {RcmdrPlugin.DCE} Contents RcmdrPlugin.DCE-package dceDataset dceDesign dceInteractions dceModel dceMwtp dceQuestions dceResponse Type: Package Title: R Commander Plug-in for Discrete Choice Experiments Version: 0.3-1 Date: 2025-06-14 Depends: support.CEs (≥ 0.7-0), survival Imports: Rcmdr Description: Adds menu items for discrete choice experiments (DCEs) to the R Commander. DCE is a question-based survey method that designs various combinations (profiles) of attribute levels using the experimental designs, asks respondents to select the most preferred profile in each choice set, and then measures preferences for the attribute levels by analyzing the responses. For details on DCEs, refer to Louviere et al. (2000) < doi:10.1017/CBO9780511753831 >. License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://sites.google.com/view/r4sp/rcmdrplugin RcmdrModels: clogit NeedsCompilation: no Packaged: 2025-06-14 03:16:12 UTC; r Author: Hideo Aizaki [aut, cre] Maintainer: Hideo Aizaki <azk-r@spa.nifty.com> Repository: CRAN Date/Publication: 2025-06-14 03:50:02 UTC R Commander Plug-in for Discrete Choice Experiments Description This package adds menu items for discrete choice experiments (DCEs) to the R Commander. DCE is a question-based survey method that designs various combinations (profiles) of attribute levels using the experimental designs, asks respondents to select the most preferred profile in each choice set, and then measures preferences for the attribute levels by analyzing the responses. For details on DCEs, refer to Louviere et al. (2000). Details This package is an R Commander plug-in package for DCEs. It depends on support.CEs (Aizaki 2012), survival (Therneau 2020; Therneau and Grambsch 2000), and Rcmdr (Fox 2005, 2017; Fox and Bouchet-Valat 2020). Refer to Aizaki (2012), Aizaki et al. (2014), and ‘Non-Market Valuation with R’ < https://nmvr.skr.jp/ > for a brief introduction to DCEs in R. A manual for this package is available at < https://sites.google.com/view/r4sp/rcmdrplugin >. After successfully installing and loading RcmdrPlugin.DCE , the R Commander window will appear, and then you will find ‘ DCE ’ added to the top-level menus in the R Commander window. Selecting ‘ DCE ’ displays menu items. When selecting a menu item, the corresponding dialog box opens. The following dialog boxes are provided by RcmdrPlugin.DCE : The dialog box for ‘ Design choice sets... ’ designs choice sets for DCE with the rotation design method or mix-and-match method using the function rotation.design in support.CEs . The dialog box for ‘ Display questions... ’ shows DCE questions from the choice sets designed in the first dialog box using the function questionnaire in support.CEs . The dialog box for ‘ Collect responses... ’ shows three types of dialog boxes to collect user's responses to DCE questions according to choice sets designed in previous dialog box. The dialog box for ‘ Create data set for analysis... ’ creates a data set for DCE analysis from the choice sets designed in the first dialog box and a data set containing responses to DCE questions using the function ce.dataset in support.CEs . The menu item is activated if a data frame is selected as the active data set. The dialog box for ‘ Create interactions... ’ creates interactions between attribute/level variables and covariates in the data set for DCE analysis. The menu item is activated if the data set for DCE analysis created in the previous dialog box is selected as the active data set. The dialog box for ‘ Fit model... ’ implements a conditional logit model analysis of the data set for analysis using the functions clogit in survival and gofm in support.CEs . The menu item is activated if the data set for DCE analysis created in the previous dialog box is selected as the active data set. The dialog box for ‘ Calculate MWTP... ’ calculates marginal willingness to pays (MWTPs) of nonmonetary variables from the model fitted in the previous dialog box using the function mwtp in support.CEs . The menu item is activated if the fitted model is selected as the active model. The dialog box for ‘ Load saved objects... ’ loads an R Data file saved in the dialog box for ‘ Design choice sets... ’ or ‘ Create data set for analysis... ’ using the function load in base . Acknowledgments This work was supported by JSPS KAKENHI Grant Number JP20K06251. Author(s) Hideo Aizaki References Aizaki H (2012) Basic Functions for Supporting an Implementation of Choice Experiments in R. Journal of Statistical Software , 50(C2): 1–24. https://www.jstatsoft.org/article/view/v050c02 . Aizaki H (2021) support.CEs: Basic Functions for Supporting an Implementation of Choice Experiments. R package version 0.5-0. https://CRAN.R-project.org/package=support.CEs . Aizaki H, Nakatani T, Sato K (2014) Stated Preference Methods Using R . Chapman and Hall/CRC. Fox J (2005) The R Commander: A Basic Statistics Graphical User Interface to R. Journal of Statistical Software , 14(9): 1–42. https://www.jstatsoft.org/article/view/v014i09 . Fox J (2017) Using the R Commander: A Point-and-Click Interface for R . Chapman and Hall/CRC. Fox J, Bouchet-Valat M (2020) Rcmdr: R Commander. R package version 2.7-1. https://cran.r-project.org/package=Rcmdr . Louviere JJ, Hensher DA, Swait JD (2000) Stated Choice Methods: Analysis and Application . Cambridge University Press. Therneau T (2020) survival: Survival Analysis. R package version 3.2-7. https://CRAN.R-project.org/package=survival . Therneau TM, Grambsch PM (2000) Modeling Survival Data: Extending the Cox Model . Springer. Examples if(interactive()) { library(RcmdrPlugin.DCE) } Create Data Set for DCE Analysis Description Create a data set for analysis from choice sets for DCEs and data set containing responses to DCE questions. Details This dialog box uses the function ce.dataset in support.CEs to create a data set for DCE analysis from the choice sets designed in the ‘ Design Choice Sets for DCE ’ dialog box and a data set containing responses to DCE questions. This dialog box is activated if a data frame is selected as the active data set. For details on the results of this dialog box, refer to help for the function ce.dataset . GUI elements of this dialog box are as follows. Name for data set : An R object name into which a data set generated using this dialog box is stored. The default name ‘ DCEdata ’ can be changed following R's rules for naming objects. If changed, you should take note of the new object name, which will be used later. Save to file : A check box for saving the resultant data set to an external file in RDA format ( .rda ). If necessary, check this box. Design : An R object name containing DCE choice sets generated in the ‘ Design Choice Sets for DCE ’ dialog box. The default name ‘ DCEdesign ’ is displayed automatically. The correct name should be entered if the name for design ( DCEdesign ) was changed in the dialog box for DCE design. Responses to DCE questions : Names of variables containing responses to DCE questions in the active data set. Variable names are separated by commas (e.g., q1, q2, q3, ...). Opt-out option : A check box for an opt-out option. When the opt-out option was used in the DCE questions, check this box. Design Choice Sets for DCE Description Design choice sets for DCEs. Details This dialog box uses the function rotation.design in package support.CEs to design choice sets for DCE with the rotation design method or mix-and-match method. For details on the results of this dialog box, refer to help for the function rotation.design . GUI elements of this dialog box are as follows. Na