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.