ExpertChoice

Design of Discrete Choice and Conjoint Analysis

v0.2.0 · Apr 3, 2020 · MIT + file LICENSE

Description

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>.

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Flavor	Status	Time
r-devel-linux-x86_64-debian-clang	OK	53.1s
r-devel-linux-x86_64-debian-gcc	OK	38.9s
r-devel-linux-x86_64-fedora-clang	OK	83.1s
r-devel-linux-x86_64-fedora-gcc	OK	118.2s
r-devel-windows-x86_64	OK	91s
r-oldrel-macos-arm64	OK
r-oldrel-macos-x86_64	OK	66s
r-oldrel-windows-x86_64	OK	94s
r-patched-linux-x86_64	OK	50.3s
r-release-linux-x86_64	OK
r-release-macos-arm64	OK	21s
r-release-macos-x86_64	OK	76s
r-release-windows-x86_64	OK	80s

Check History

OK 12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Apr 25, 2026

NOTE 11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

NOTE r-oldrel-macos-arm64

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NOTE r-oldrel-windows-x86_64

LazyData

'LazyData' is specified without a 'data' directory

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Version History

1 tracked

new 0.2.0 Mar 10, 2026

R Observatory began tracking this package on Mar 10, 2026; it first appeared on CRAN Apr 3, 2020. Releases before tracking aren’t shown.