Learn R Programming

⚠️There's a newer version (1.0.3) of this package.Take me there.

idefix (version 0.2.4)

Efficient Designs for Discrete Choice Experiments

Description

Generates efficient designs for discrete choice experiments based on the multinomial logit model, and individually adapted designs for the mixed multinomial logit model. The generated designs can be presented on screen and choice data can be gathered using a shiny application. Crabbe M, Akinc D and Vandebroek M (2014) .

Copy Link

Version

Install

install.packages('idefix')

Monthly Downloads

1,357

Version

0.2.4

License

GPL-3

Issues

Pull Requests

Stars

Forks

Maintainer

Frits Traets

Last Published

January 17th, 2018

Functions in idefix (0.2.4)

LoadData

Load numeric choice data from directory
Modfed

Modified Federov algorithm for MNL models.
SeqDB

Sequential modified federov algorithm for MNL model.
SeqKL

Sequential Kullback-Leibler based algorithm for the MNL model.
Decode

Coded choice set to character choice set.
ImpsampMNL

Importance sampling MNL
Charbin

Character vector to binary vector.
Datatrans

Data transformation.
Profiles

Profiles generation.
RespondMNL

Response generation
SurveyApp

Shiny application to generate a discrete choice survey.
aggregate_design

Discrete choice aggregate design.
example_design

Discrete choice design.