Package: DCchoice 0.2.0

Hideo Aizaki

DCchoice: Analyzing Dichotomous Choice Contingent Valuation Data

Functions for analyzing dichotomous choice contingent valuation (CV) data. It provides functions for estimating parametric and nonparametric models for single-, one-and-one-half-, and double-bounded CV data. For details, see Aizaki et al. (2022) <doi:10.1007/s42081-022-00171-1>.

Authors:Tomoaki Nakatani [aut, cph], Hideo Aizaki [aut, cre], Kazuo Sato [ctb]

DCchoice_0.2.0.tar.gz
DCchoice_0.2.0.tar.gz(r-4.5-noble)DCchoice_0.2.0.tar.gz(r-4.4-noble)
DCchoice_0.2.0.tgz(r-4.4-emscripten)DCchoice_0.2.0.tgz(r-4.3-emscripten)
DCchoice.pdf |DCchoice.html✨
DCchoice/json (API)

# Install 'DCchoice' in R:
install.packages('DCchoice', repos = 'https://cloud.r-project.org')
Datasets:
  • AP - Albemarle-Pamlico sounds CVM data
  • CarsonDB - Exxon Valdez Oil Spill CVM data
  • CarsonSB - Exxon Valdez Oil Spill CVM data
  • KR - Kristr\"om's single-bounded dichotomous choice CVM data
  • oohbsyn - Synthetic data set for oohbchoice

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.66 score 1 stars 1 packages 1.5k downloads 1 mentions 15 exports 9 dependencies

Last updated 2 years agofrom:4995c9be0b. Checks:1 OK, 2 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 24 2025
R-4.5-linuxNOTEMar 24 2025
R-4.4-linuxNOTEMar 24 2025

Exports:bootCIct2dfdbchoicedbspikedccvResponsekrCIkristromoohbchoiceoohbspikesbchoicesbspikespikeCoefturnbull.dbturnbull.oohbturnbull.sb

Dependencies:FormulaIcensintervallatticeMASSMatrixMLEcenspermsurvival

Citation

To cite the 'DCchoice' package in publications use:

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 https://doi.org/10.1007/s42081-022-00171-1.

Aizaki H, Nakatani T, Sato K (2014). Stated Preference Methods Using R. CRC Press. DOI https://doi.org/10.1201/b17292.

Tomoaki Nakatani, Hideo Aizaki, Kazuo Sato (2023). DCchoice: An R Package for Analyzing Dichotomous Choice Contingent Valuation Data. R package version 0.2.0.

Corresponding BibTeX entries: 

  @Article{,
    title = {R package DCchoice for dichotomous choice contingent
      valuation: a contribution to open scientific software and its
      impact},
    author = {Hideo Aizaki and Tomoaki Nakatani and Kazuo Sato and
      James Fogarty},
    year = {2022},
    volume = {5},
    pages = {871--884},
    journal = {Japanese Journal of Statistics and Data Science},
    doi = {10.1007/s42081-022-00171-1},
  }

  @Book{,
    title = {Stated Preference Methods Using R},
    author = {Hideo Aizaki and Tomoaki Nakatani and Kazuo Sato},
    year = {2014},
    doi = {10.1201/b17292},
    publisher = {CRC Press},
  }

  @Manual{,
    title = {DCchoice: An R Package for Analyzing Dichotomous Choice
      Contingent Valuation Data},
    author = {Tomoaki Nakatani and Hideo Aizaki and Kazuo Sato},
    year = {2023},
    note = {R package version 0.2.0},
  }

Readme and manuals

Help Manual

Help pageTopics
DCchoice: a package for analyzing dichotomous choice contingent valuation dataDCchoice-package DCchoice
Albemarle-Pamlico sounds CVM dataAP
Calculating confidence intervals for WTP using a nonparametric bootstrap methodbootCI print.bootCI
Exxon Valdez Oil Spill CVM dataCarsonDB CarsonSB
Convert a data frame in contingency-table format into a simple data frame of individual observationsct2df
Parametric approach to analyze double-bounded dichotomous choice contingent valuation datadbchoice logLik.dbchoice print.dbchoice vcov.dbchoice
Generate artificial responses to dichotomous choice CV questionsdccvResponse
Kristr\"om's single-bounded dichotomous choice CVM dataKR
Calculating confidence intervals for WTP using a parametric simulationkrCI print.krCI
The Kristr\"om's nonparametric approach to analyze single-bounded dichotomous choice contingent valuation datakristrom print.kristrom
Parametric approach to analyze one-and-one-half-bound dichotomous choice contingent valuation dataoohbchoice
Synthetic data set for oohbchoice()oohbsyn
Plotting dbchoice objectsplot.dbchoice
Plotting 'kristrom' objectsplot.kristrom
Plotting sbchoice objectsplot.sbchoice
Plotting 'turnbull' objectsplot.turnbull
Predicting model for dbchoicepredict.dbchoice
Predicting model for sbchoicepredict.sbchoice
Parametric approach to analyze single-bounded dichotomous choice contingent valuation datalogLik.sbchoice print.sbchoice sbchoice vcov.sbchoice
Parametric approach to analyze dichotomous choice contingent valuation data on the basis of a simple spike modeldbspike logLik.spike oohbspike plot.spike print.spike print.summary.spike sbspike spike spike models spike-models spikeCoef summary.spike vcov.spike
Summarizing 'dbchoice' estimationprint.summary.dbchoice summary.dbchoice
Summarizing the Kristr\"om's nonparametric estimation of WTPprint.summary.kristrom summary.kristrom
Summarizing 'sbchoice' estimationprint.summary.sbchoice summary.sbchoice
Summarizing the Kaplan-Meier-Turnbull nonparametric estimation of WTPprint.summary.turnbull summary.turnbull
The Kaplan-Meier-Turnbull nonparametric approach to analyze dichotomous choice contingent valuation dataprint.turnbull turnbull.db turnbull.oohb turnbull.sb
Updating and refitting model for dbchoiceupdate.dbchoice
Updating and refitting model for sbchoiceupdate.sbchoice