R package DCchoice for dichotomous choice contingent valuation: a contribution to open scientific software and its impact

R package DCchoice for dichotomous choice contingent valuation: a contribution to open scientific software and its impact
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用于二分选择条件评估的 R 包 DCchoice:对开放科学软件及其影响的贡献

DOI:
10.1007/s42081-022-00171-1
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发表时间:
2022
影响因子:
1.3
通讯作者:
Fogarty James
Fogarty James
中科院分区:
--
文献类型:
--
作者:
Aizaki Hideo;Nakatani Tomoaki;Sato Kazuo;Fogarty James

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R包DCchoice的目的是减轻与二分选择条件估值(DCCV)方法在实证研究中的应用有关的障碍。自2014年发布以来,DCchoice已经更新。本文介绍了当前版本的DCchoice,它支持单,一和一个半,和双有界DCCV,有和没有尖峰。此外,支付意愿及其置信区间可以使用当前版本计算代表性受访者以及用户定义的特定受访者。相关的Web教程和R Commander插件也可用于DCchoice的基本用法。DCchoice在各个领域都有先进的DCCV应用。
The R package DCchoice is designed to mitigate programing-related barriers to the application of dichotomous choice contingent valuation (DCCV) methods in empirical studies. Since its release in 2014, DCchoice has been updated. This paper introduces the current version of DCchoice which supports single-, one-and-one-half-, and double-bounded DCCVs, with and without a spike. Additionally, the willingness-to-pay and its confidence intervals can be calculated for a representative respondent as well as for a user-defined specific respondent using the current version. The associated web tutorial and R Commander plug-in for basic usage of DCchoice are also available. DCchoice has advanced DCCV applications in various fields.
DOI: 10.1016/j.dib.2015.01.006
发表时间: 2015-06
期刊: Data in brief
影响因子: 1.2
作者:
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影响因子: 5.8
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发表时间: 1979-01-01
影响因子: 4.2
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关于或有估值的三篇论文
DOI: --
发表时间: 2012
期刊:
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作者:
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通讯作者: Samuel David