Conjoint Analysis with Reliability Correction and Visualization

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Documentation for package ‘projoint’ version 1.0.6

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

exampleData1	Projoint Example Data Set 1: Building Conjoint with a Repeated, Flipped Task
exampleData1_labelled_tibble	Projoint Example Data Set 1: "Labelled Tibble"
exampleData2	Projoint Example Data Set 2: Building Conjoint with a Repeated, Non-Flipped Task
exampleData3	Projoint Example Data Set 3: Building Conjoint with No Repeated Task
make_projoint_data	Make a 'projoint_data' object from a labelled tibble
out1_arranged	Example Output: Manually Rearranged Labels
plot.projoint_results	Plot method for 'projoint_results'
plot.projoint_tau	Plot method for 'projoint_tau'
predict_tau	Estimate intra-respondent reliability (tau) without a repeated task
print.projoint_data	Print a projoint_data object
print.projoint_results	Print method for projoint_results
print.projoint_tau	Print method for projoint_tau objects
projoint	Analyze a conjoint dataset with measurement-error correction
read_labels	Read and apply a reordered attribute/level mapping
read_Qualtrics	Read and re-format a Qualtrics CSV (choice text)
reshape_projoint	Reshape survey response data for conjoint analysis (single task set)
save_labels	Save attribute and level labels to a CSV file
set_qoi	Set the quantities of interest (QoIs)
summary.projoint_data	Summary for 'projoint_data'
summary.projoint_results	Summary method for 'projoint_results'
summary.projoint_tau	Summary method for projoint_tau objects