Computes \(-z \times epn \times y \times H1(epn \times y)\), used in partial derivative w.r.t. beta.
Arguments
- epn
Numeric, e.g. \(\exp(Z \beta)\).
- z
Numeric or vector, representing the covariate(s).
- y
Numeric, typically \(y[j]\) in iterative algorithms.
- H1
A function, the first derivative of H.
Value
A numeric value for xi1.