Evaluate the partial derivatives of the log likelihood
with respect to each parameter at where with
weight.
Arguments
m
item model
param
item parameters
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.