Calculates the sensitivity function given the desired Criterion
, an information matrix and other
necessary values depending on the chosen criterion.
sens(Criterion, grad, M, par_int = c(1), matB = NA)
The sensitivity function as a matrix of single variable.
character variable with the chosen optimality criterion. Can be one of the following:
'D-Optimality'
'Ds-Optimality'
'A-Optimality'
'I-Optimality'
'L-Optimality'
A function in a single variable that returns the partial derivatives vector of the model.
Information Matrix for the sensitivity function.
Numeric vector of the indexes of the parameters of interest for Ds-Optimality.
Matrix resulting from the integration of the one-point Information Matrix along the interest region or lineal matrix for L-Optimality.