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st: RE: Newton-Raphson (not concave)

From   "Nick Cox" <>
To   <>
Subject   st: RE: Newton-Raphson (not concave)
Date   Wed, 14 Apr 2010 11:49:31 +0100

I'd say that while failure to converge is almost always diagnostic of a poor model (or poor data), small struggles in convergence are rarely diagnostic of anything much, especially with complicated models like these. 

But wondering whether a simpler model is preferable is always good science and good statistics. 


Dimitrije Tišma

I am running a multi-level random intercept model and after the
adaptive quadrature has converged I have got four consecutive
iterations with (not concave) message. If the model does converge
should I believe my results or should I try another simpler model by
taking out one or two variables? 

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