coef.prms: extract enorm item parameters

In dexter: Data Management and Analysis of Tests

extract enorm item parameters

Description

extract enorm item parameters

Usage

## S3 method for class 'prms'
coef(object, hpd = 0.95, what = c("items", "var", "posterior"), ...)

Arguments

object	an enorm parameters object, generated by the function fit_enorm
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 'items' (the item parameters). Can also be 'var' for the variance-covariance matrix (CML only) or 'posterior' for all draws of the item parameters (Bayes only)
...	further arguments to coef are ignored

Value

Depends on the calibration method and the value of 'what'. For 'items'

CML

a data.frame with columns: item_id, item_score, beta, SE_beta

Bayes

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.

dexter documentation built on Nov. 10, 2022, 5:15 p.m.