Extract the per-observation gradients (scores) evaluated at the estimated
parameters from an mlmodel object.
Usage
gradientObs(object)
# S3 method for class 'mlmodel'
gradientObs(object)
Arguments
- object
An mlmodel object.
Value
A numeric matrix with one row per observation and one column per
parameter. Each row contains the gradient of the log-likelihood for that
observation.
Details
These are the individual contributions to the score vector. They are mainly
useful for advanced users who want to implement custom tests or diagnostics.
