Package: ExpertChoice 0.2.1

ExpertChoice: Design of Discrete Choice and Conjoint Analysis

Supports designing efficient discrete choice experiments (DCEs). Experimental designs can be formed on the basis of orthogonal arrays or search methods for optimal designs (Federov or mixed integer programs). Various methods for converting these experimental designs into a discrete choice experiment. Many efficiency measures! Draws from literature of Kuhfeld (2010) and Street et. al (2005) <doi:10.1016/j.ijresmar.2005.09.003>.

Authors:Jed Stephens [aut, cre]

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Peer review:

Bug tracker:https://github.com/jedstephens/expertchoice/issues

On CRAN:

8 exports 15 stars 1.91 score 41 dependencies 1 mentions 4 scripts 151 downloads

Last updated 4 years agofrom:dda9602c4c. Checks:OK: 7. Indexed: yes.

Exports:augment_levelscheck_overshadowconstruct_question_framedce_efficiencyfractional_factorial_efficiencyfull_factorialmodulo_methodsearch_design

Dependencies:clicolorspacecombinatconf.designdata.tableDoE.basedplyrfansifargenericsgluegmpjsonlitelatticelifecyclelmtestmagrittrMASSmathjaxrnlmenumberspartitionspillarpkgconfigpolynompurrrR6rbibutilsRdpackrlangrlistsetstibbletidyselectutf8vcdvctrswithrXMLyamlzoo