lmFisherByHessian {gofedf} | R Documentation |
Compute Fisher information matrix in the case of linear model with Normal residuals.
Description
Compute Fisher information matrix in the case of linear model with Normal residuals.
Usage
lmFisherByHessian(x, y, theta)
Arguments
x |
a matrix with n rows and p columns containing the explanatory variables. |
y |
a numeric vector of length n containing the response variable. |
theta |
a numeric vector of length (p+1), containing MLE of parameters in a linear model. |
Value
Fisher information matrix for linear models.
[Package gofedf version 0.1.0 Index]