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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>.

Version: 0.2.0
Depends: R (≥ 3.5.0)
Imports: stats, MASS, interval, Formula
Suggests: Ecdat
Published: 2023-07-10
Author: Tomoaki Nakatani [aut, cph] (original developer), Hideo Aizaki [aut, cre], Kazuo Sato [ctb] (theoretical part of the manual)
Maintainer: Hideo Aizaki <azk-r at spa.nifty.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.agr.hokudai.ac.jp/spmur/
NeedsCompilation: no
Citation: DCchoice citation info
CRAN checks: DCchoice results

Documentation:

Reference manual: DCchoice.pdf

Downloads:

Package source: DCchoice_0.2.0.tar.gz
Windows binaries: r-devel: DCchoice_0.2.0.zip, r-release: DCchoice_0.2.0.zip, r-oldrel: DCchoice_0.2.0.zip
macOS binaries: r-release (arm64): DCchoice_0.2.0.tgz, r-oldrel (arm64): DCchoice_0.2.0.tgz, r-release (x86_64): DCchoice_0.2.0.tgz, r-oldrel (x86_64): DCchoice_0.2.0.tgz
Old sources: DCchoice archive

Reverse dependencies:

Reverse depends: RcmdrPlugin.DCCV
Reverse suggests: marginaleffects

Linking:

Please use the canonical form https://CRAN.R-project.org/package=DCchoice to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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