Description Usage Arguments Value
Computes variance of latent traits and the one-parameter RSC model for a combined assessment.
#' @param resp a data.frame containing the binary item responses of both the individual assessment and the (conjunctively scored) group assessment. See details of rsc
for information on formatting.
1 2 |
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. |
method |
one of |
obs |
logical: should standard errors be computed using the observed ( |
sigma |
prior standard deviation for logit of weight. |
3 * K
by 3 * K
covariance matrix of the parameter estimates, with K = length(u)
and rows/cols ordered as rep(c(u_k, theta1_k, theta2_k), times = K)
.
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