coef.prms | R Documentation |
extract enorm item parameters
## S3 method for class 'prms'
coef(object, hpd = 0.95, what = c("items", "var", "posterior"), ...)
object |
an enorm parameters object, generated by the function |
hpd |
width of Bayesian highest posterior density interval around mean_beta, value must be between 0 and 1, default is 0.95 |
what |
which coefficients to return. Defaults to |
... |
further arguments to coef are ignored |
Depends on the calibration method and the value of 'what'. For 'items'
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, <hpd_b_left>, <hpd_b_right>
The posterior distribution and variance covariance matrix are returned as matrices.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.