Dear R users I am using GLMMpql to analyse some nested negative binomial response data.
How do I summarise the significance of my main effects? For example, in a standard linear mixed model (lme), I would use anova.lme to obtain an F statistic and P value for each of my main effects: how do I achieve a similar goal using GLMMpql? many thanks Sarah Richardson Sarah Richardson Plant Ecologist Maanaki Whenua - Landcare Research PO Box 69 LINCOLN 8152 Aotearoa - New Zealand T. +64 3 325 6700 ext. 3818 F. +64 3 325 2418 E. [EMAIL PROTECTED] ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ WARNING: This email and any attachments may be confidential and/or privileged. They are intended for the addressee only and are not to be read, used, copied or disseminated by anyone receiving them in error. If you are not the intended recipient, please notify the sender by return email and delete this message and any attachments. The views expressed in this email are those of the sender and do not necessarily reflect the official views of Landcare Research. Landcare Research http://www.landcareresearch.co.nz ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ [[alternative HTML version deleted]] ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
