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:
ExpertChoice_0.2.1.tar.gz
ExpertChoice_0.2.1.zip(r-4.5)ExpertChoice_0.2.1.zip(r-4.4)ExpertChoice_0.2.1.zip(r-4.3)
ExpertChoice_0.2.1.tgz(r-4.4-any)ExpertChoice_0.2.1.tgz(r-4.3-any)
ExpertChoice_0.2.1.tar.gz(r-4.5-noble)ExpertChoice_0.2.1.tar.gz(r-4.4-noble)
ExpertChoice_0.2.1.tgz(r-4.4-emscripten)ExpertChoice_0.2.1.tgz(r-4.3-emscripten)
ExpertChoice.pdf |ExpertChoice.html✨
ExpertChoice/json (API)
| # Install 'ExpertChoice' in R: |
| install.packages('ExpertChoice', repos = c('https://jedstephens.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jedstephens/expertchoice/issues
Last updated 5 years agofrom:dda9602c4c. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 08 2024 |
| R-4.5-win | OK | Nov 08 2024 |
| R-4.5-linux | OK | Nov 08 2024 |
| R-4.4-win | OK | Nov 08 2024 |
| R-4.4-mac | OK | Nov 08 2024 |
| R-4.3-win | OK | Nov 08 2024 |
| R-4.3-mac | OK | Nov 08 2024 |
Exports:augment_levelscheck_overshadowconstruct_question_framedce_efficiencyfractional_factorial_efficiencyfull_factorialmodulo_methodsearch_design
Dependencies:clicolorspacecombinatconf.designdata.tableDoE.basedplyrfansifargenericsgluegmpjsonlitelatticelifecyclelmtestmagrittrMASSmathjaxrnlmenumberspartitionspillarpkgconfigpolynompurrrR6rbibutilsRdpackrlangrlistsetstibbletidyselectutf8vcdvctrswithrXMLyamlzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Augment levels and B-matrix to Full Factorial Design. | augment_levels |
| Check Overshadow - Pareto Dominate Solutions | check_overshadow |
| Convert from choice_sets to a question data | construct_question_frame |
| Efficiency Measures for Discrete Choice Experiments | dce_efficiency |
| Fractional Factorial Design Efficiency | fractional_factorial_efficiency |
| Full Factorial Design | full_factorial |
| Modulo Method - Described by Street et al. | modulo_method |
| Search Full Factorial for Fractional Factorial Design | search_design |
