Compute score for model parameters.
Usage
multinom_score_vector(X, Y, probs)
Arguments
- X
This should be the \(n \times p\) design matrix of covariates.
- Y
This should be the \(n \times J\) data matrix of outcomes.
- probs
This should be the \(n \times J\) matrix of estimated probabilities for each sample.
Value
The score vector for the model parameters.