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DCchoice (version 0.0.13-3)

Analyzing Dichotomous Choice Contingent Valuation Data

Description

Functions for analyzing dichotomous choice contingent valuation (CV) data. It provides functions for estimating parametric and nonparametric models for single- and double-bounded CV data.

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Version

Install

install.packages('DCchoice')

Monthly Downloads

2,599

Version

0.0.13-3

License

GPL (>= 2)

Maintainer

Hideo Aizaki

Last Published

September 15th, 2015

Functions in DCchoice (0.0.13-3)

bootCI

Calculating confidence intervals for WTP using a nonparametric bootstrap method
summary.kristrom

Summarizing the Kristr"{o}m's nonparametric estimation of WTP
plot.kristrom

Plotting kristrom objects
turnbull

The Kaplan-Meier-Turnbull nonparametric approach to analyze dichotomous choice contingent valuation data
sbchoice

Parametric approach to analyze single-bounded dichotomous choice contingent valuation data
summary.turnbull

Summarizing the Kaplan-Meier-Turnbull nonparametric estimation of WTP
AP

Albemarle-Pamlico sounds CVM data
Carson

Exxon Valdez Oil Spill CVM data
krCI

Calculating confidence intervals for WTP using a parametric simulation
KR

Kristr"{o}m's single-bounded dichotomous choice CVM data
DCchoice-package

DCchoice: a package for analyzing dichotomous choice contingent valuation data
ct2df

Convert a data frame in contingency-table format into a simple data frame of individual observations
kristrom

The Kristr"{o}m's nonparametric approach to analyze single-bounded dichotomous choice contingent valuation data
summary.sbchoice

Summarizing sbchoice estimation
plot.turnbull

Plotting turnbull objects
summary.dbchoice

Summarizing dbchoice estimation
dbchoice

Parametric approach to analyze double-bounded dichotomous choice contingent valuation data