Package index • rankingQ

All functions

avg_rank(): Compute the Average Rank of All Items

bootstrap_list(): Bootstrap the Data Frames in a List

identity: Identity-ranking data analyzed in Atsusaka and Kim (2024)

identity_w: Identity-ranking data with estimated weights based on inverse probability weighting

imprr_direct(): Bias-correct the Distribution of Ranking Permutations Using a Paired Anchor Question and Produce De-biased Average Rankings

imprr_weights(): Bias-correct the Distribution of Ranking Permutations (IPW Estimator Version)

item_to_rank(): Return Rankings with Items as Columns

ordinal_seq(): Generate an Ordinal Sequence from a Number

permn_augment(): Augmenting Permutation Patterns

plot_dist_ranking(): Plot the Distribution of Rankings Over the Permutation Space

rank_longer(): Turn Column(s) Recording Rankings in Wide Format into a Long Data Format

recover_recorded_responses(): Recover the Recorded Responses Given that Ranking Items were Randomized

rpluce(): Draw Samples from the Plackett-Luce Model

sim_rank(): Simulate the Probability that a Given Ranking Permutation Pattern is Chosen Over a Random Effect Variable

sim_rank_randeff(): Simulate the Probability that a Given Ranking Permutation Pattern is Chosen Over a Random Effect Variable

stratified_avg(): Stratified Estimate of Average Ranks

table_to_tibble(): Turn the Frequency Table into a Tibble or Data Frame

unbiased_correct_prop(): Unbiased Estimator of the Proportion of Random and Non-random Responses

viz_avg_rank(): Visualize Average Rankings

viz_ranking(): Visualize Quantities of Interest Using Ranking Data

weight_patterns(): Extract Weights of Ranking Permutation Patterns Using a Paired Anchor Question