Package 'support.ces' Title Basic Functions for Supporting an Implementation of Choice Experiments
نویسنده
چکیده
February 15, 2013 Type Package Title Basic functions for supporting an implementation of choice experiments Version 0.3-0 Date 2012-11-08 Author Hideo Aizaki Maintainer Hideo Aizaki Description The support.CEs package provides seven basic functions that support an implementation of choice experiments. License GPL (>= 2) Depends DoE.base, MASS, simex Suggests survival, stats Repository CRAN LazyLoad yes LazyData yes Date/Publication 2012-11-08 06:19:29 NeedsCompilation no
منابع مشابه
Title Basic Functions for Supporting an Implementation of Choice Experiments
August 29, 2013 Type Package Title Basic functions for supporting an implementation of choice experiments Version 0.3-0 Date 2012-11-08 Author Hideo Aizaki Maintainer Hideo Aizaki Description The support.CEs package provides seven basic functions that support an implementation of choice experiments. License GPL (>= 2) Depends DoE.base, MASS, simex Suggests survival, stats R...
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The package support.CEs provides seven basic functions that support the implementation of choice experiments (CEs) in R: two functions for creating a CE design, which is based on orthogonal main-effect arrays; a function for converting a CE design into questionnaire format; a function for converting a CE design into a design matrix; a function for making the data set suitable for the implementa...
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August 29, 2013 Type Package Title Basic functions for supporting an implementation of best-worst scaling Version 0.1-0 Date 2013-05-21 Author Hideo Aizaki Maintainer Hideo Aizaki Description This package provides three basic functions that support an implementation of object case (Case 1) best-worst scaling: one for converting a two-level orthogonal main-effect design/bala...
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Description This package contains basic tools for the purpose of sample size estimation in cluster (group) randomized trials. The package contains traditional power-based methods, empirical smoothing (Rotondi and Donner, 2009), and updated meta-analysis techniques (Rotondi and Donner, 2011).
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