Package index
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avg_rank() - Compute the Average Rank of All Items
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identity - Identity-ranking data analyzed in Atsusaka and Kim (2024)
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identity_w - Identity-ranking data with estimated weights based on inverse probability weighting
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imprr_direct() - Implements Plug-in Bias-Corrected Estimators for Ranking Data
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imprr_weights() - Computes Bias-Correction Weights for Ranking Data
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item_to_rank() - Return Rankings with Items as Columns
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ordinal_seq() - Generate an Ordinal Sequence from a Number
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permn_augment() - Augmenting Permutation Patterns
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plot_average_rank() - Plot Average Rank Results
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plot_dist_ranking() - Plot the Distribution of Rankings Over the Permutation Space
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rank_longer() - Turn Column(s) Recording Rankings in Wide Format into a Long Data Format
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recover_recorded_responses() - Recover the Recorded Responses Given that Ranking Items were Randomized
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rpluce() - Draw Samples from the Plackett-Luce Model
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stratified_avg() - Stratified Estimate of Average Ranks
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table_to_tibble() - Turn the Frequency Table into a Tibble or Data Frame
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unbiased_correct_prop() - Unbiased Estimator of the Proportion of Random and Non-random Responses
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uniformity_test() - Uniformity Test for Ranking Patterns
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wtd.table() - Weighted one-way and two-way frequency tables.