gsed4 –> gsed3 in calculate_dmodel() and plot_tau_contrast(), so now all code uses the gsed3 lexiconcalculate_DIF_classification() and calculate_DIF_table() from gsedscripts to the dfine packagedifR dependencydazand show_smooth arguments to plot_d_a_cohort()
gsed4 lexicon for better integration with published test materialsplot_d_a_cohort() and calculate_cohort()
NULL handling of plot_pass() argumentsplot_p_a_item(), plot_p_a_one_item() and plot_p_d_item() by plot_pass()
plot_tau_constrast() to generate an interactive plotly figure to compare two sets of tau estimatestransform = "auto" option to the calculate_dmodel() argumentsplot_p_a_one_item() to allow for both x_var = "d" and x_var = "a"
get_palette() function to retrieve themplot_p_d_item() for plotting pass curves against abilityscripts/plot_p_a.R to plot the passing rates by age for the -still provisional- GSED phase 1 & 2 datacalculate_dmodel() which works with both long and wide dataitem_var, reponse_var, ability_var to list returned from rasch()
rasch()
rasch() function to fit Rasch model with 1) item equating, 2) beta fixing and 3) pairs calculation