rpf.dLL: Item parameter derivatives
Description
Evaluate the partial derivatives of the log likelihood with
respect to each parameter at where
with
weight
.Usage
rpf.dLL(m, param, where, weight)
Arguments
where
location in the latent space
weight
per outcome weights (typically derived by
observation)
Value
- first and second order partial derivatives of the log
likelihood evaluated at
where
. For p parameters, the
first p values are the first derivative and the next
p(p+1)/2 columns are the lower triangle of the second
derivative.
See Also
The numDeriv package.