Performs a test of convergence based on the L2 norm of the change in the parameter estimates.
conv.test(theta1, theta2, epsilon)
vector of parameter estimates at previous step.
vector of parameter estimates at current step.
positive convergence tolerance.
This is used as the convergence test in the
addreg fitting functions, because the EM
algorithm may converge slowly such that the test based on
the deviance used in
glm.control) may report convergence at a
point away from the actual optimum.
Mark W. Donoghoe Mark.Donoghoe@mq.edu.au
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