extract enorm item parameters
# S3 method for prms
coef(object, bayes_hpd_b = 0.95, ...)
an enorm parameters object, generated by the function fit_enorm
width of Bayesian highest posterior density interval around mean_beta, value must be between 0 and 1, default is 0.95
further arguments to coef are ignored
Depends on the calibration method:
a data.frame with columns: item_id, item_score, beta, SE_beta
a data.frame with columns: item_id, item_score, mean_beta, SD_beta, -bayes_hpd_b_left-, -bayes_hpd_b_right-