Package index • kilter

All functions

aiq: The Art Interest Questionnaire data

aiq_draws: The Art Interest Questionnaire draws

art: Art has the power to stretch the boundaries of moral behaviour

bootstrap_response_counts(): Compute mean and non-parametric bootstrapped percentile confidence intervals

check_ci_variable(): Check validity of variable for CI computation

check_that_columns_exist(): Check that all columns are present in a table

compute_bootstrap_and_posterior_predictions(): Compute summary based on both boostrapped samples and of posterior predictive distribution

count_responses(): Compute total count and proportion responses for each level per combination of factors

extract_stan_posterior_matrix(): Extract variable from draws table as a matrix

geom_gradient_vstripe(): Vertical stripe with gradient fill

geom_grid_hlines(): Replicate horizontal grid lines

geom_grid_vlines(): Replicate vertical grid lines

geom_vstripe(): Vertical stripe with constant fill

geom_vstripe_flip(): Vertical stripe with constant fill

inv_logit(): Inverse logit

lower_ci(): Compute lower limit for percentile confidence interval

dordered_logistic() rordered_logistic(): Ordered logistic distribution

parse_formula(): Parse formula into outcome, fixed, and random effects

parse_stan_posterior_array(): Parse Stan array parameter

plot_intensity(): Plot estimated intensity as box plots

plot_responses(): Plot proportion or count of responses

posterior_predictions_for_response_counts(): Compute summary of posterior predictive distribution for the data given posterior distributions of eta and cutpoints

upper_ci(): Compute upper limit for percentile confidence interval