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From |
"Joseph Coveney" <jcoveney@bigplanet.com> |

To |
<statalist@hsphsun2.harvard.edu> |

Subject |
st: RE: RE: Re: Predicting Random Effects from a Crossed-Level Model using xtmelogit |

Date |
Tue, 29 Dec 2009 22:30:55 +0900 |

Albert Lee wrote: Thanks. Yes, and no. Yes in that xtmelogit for crossed-level model uses Laplace approximation. However, when I tried specifying the intpoints option, STATA generates an error message as below: . xtmelogit fail refinance || _all:R.year || _all:R.hub || _all:R.originator_n, intpoints(5 5 5) wrong number of intpoints() specifications r(198); Could you tell me what went wrong? -------------------------------------------------------------------------------- Maybe: with the cross-classified random effects model that your syntax implies, you only have one level, and not three levels as in a hierarchical model. So, try -intpoints(5)-. Joseph Coveney * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**st: Predicting Random Effects from a Crossed-Level Model using xtmelogit***From:*"Lee, Albert" <Albert.Lee@hud.gov>

**st: Re: Predicting Random Effects from a Crossed-Level Model using xtmelogit***From:*"Joseph Coveney" <jcoveney@bigplanet.com>

**st: RE: Re: Predicting Random Effects from a Crossed-Level Model using xtmelogit***From:*"Lee, Albert" <Albert.Lee@hud.gov>

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