"General" (non-Bernoulli) binomial models in GLMMadaptive.
On 5/08/19 12:28 AM, D. Rizopoulos wrote:
In general, the more quadrature points you use the better the approximation of the log-likelihood at the expense of computational time. The order of the approximation is improved every two quadrature points you add. Hence, you start at 1 (equivalent to Laplace approximation), and you go 3, 5, etc. For more info check Section 5.3 of my course notes (http://www.drizopoulos.com/courses/EMC/CE08.pdf), and also this thesis: https://macsphere.mcmaster.ca/handle/11375/17272
That's clear and succinct! Thanks very much. cheers, Rolf
Honorary Research Fellow Department of Statistics University of Auckland Phone: +64-9-373-7599 ext. 88276