Description Usage Arguments Value
This function computes first derivatives of the log-likelihood for a combined assessment, in which the 2PL model is used for the individual component of the assessment and the one-parameter RSC model is used for the group component of the assessment. The derivatives are taken in c(u, theta1, theta2)
. See help(l_full)
for details on formatting of resp
and parms
.
1 | dl_full(resp, u, parms, theta1, theta2)
|
resp |
a data.frame containing the binary item responses of both the individual assessment and the (conjunctively scored) group assessment. See details for information on formatting. |
u |
the logit of the weight parameter of the RSC model. |
parms |
a data.frame with columns |
theta1 |
the latent trait of member 1. |
theta2 |
the latent trait of member 2. |
3 * K
- vector of first derivatives, with K = length(u)
, ordered as rep(c(u_k, theta1_k, theta2_k), times = K)
.
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