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cbcTools  

Choice-Based Conjoint Experiment Design Generation and Power Evaluation in R
View on CRAN: Click here


Download and install cbcTools package within the R console
Install from CRAN:
install.packages("cbcTools")

Install from Github:
library("remotes")
install_github("cran/cbcTools")

Install by package version:
library("remotes")
install_version("cbcTools", "0.5.0")



Attach the package and use:
library("cbcTools")
Maintained by
John Helveston
[Scholar Profile | Author Map]
First Published: 2023-02-28
Latest Update: 2023-07-12
Description:
Design and evaluate choice-based conjoint survey experiments. Generate a variety of survey designs, including random designs, full factorial designs, orthogonal designs, D-optimal designs, and Bayesian D-efficient designs as well as designs with "no choice" options and "labeled" (also known as "alternative specific") designs. Conveniently inspect the design balance and overlap, and simulate choice data for a survey design either randomly or according to a multinomial or mixed logit utility model defined by user-provided prior parameters. Conduct a power analysis for a given survey design by estimating the same model on different subsets of the data to simulate different sample sizes. Full factorial and orthogonal designs are obtained using the 'DoE.base' package (Gr
How to cite:
John Helveston (2023). cbcTools: Choice-Based Conjoint Experiment Design Generation and Power Evaluation in R. R package version 0.5.0, https://cran.r-project.org/web/packages/cbcTools. Accessed 07 Apr. 2025.
Previous versions and publish date:
0.2.0 (2023-02-28 15:32), 0.3.0 (2023-05-10 00:50), 0.3.2 (2023-05-23 15:02), 0.3.3 (2023-06-02 19:20), 0.3.4 (2023-06-13 20:20), 0.4.0 (2023-06-30 20:50)
Other packages that cited cbcTools R package
View cbcTools citation profile
Other R packages that cbcTools depends, imports, suggests or enhances
Complete documentation for cbcTools
Functions, R codes and Examples using the cbcTools R package
Some associated functions: cbc_balance . cbc_choices . cbc_design . cbc_overlap . cbc_power . cbc_profiles . cbc_restrict . miscmethods.cbc_errors . miscmethods.cbc_models . plot_compare_power . randLN . randN . 
Some associated R codes: choices.R . design.R . input_checks.R . inspect.R . methods.R . power.R . profiles.R . tools.R .  Full cbcTools package functions and examples
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