| To: | Nicola Koper <nkoper@yahoo.com> |
|---|---|
| Subject: | Re: calculating upper and lower CL using lme and glme |
| From: | Spencer Graves <spencer.graves@pdf.com> |
| Date: | Wed, 23 Aug 2006 21:13:23 -0700 |
| Cc: | s-news@lists.biostat.wustl.edu |
| In-reply-to: | <20060821195952.74064.qmail@web36215.mail.mud.yahoo.com> |
| References: | <20060821195952.74064.qmail@web36215.mail.mud.yahoo.com> |
| User-agent: | Thunderbird 1.5.0.5 (Windows/20060719) |
Have you considered "intervals"? The help file for
'intervals.lme' includes an example with default 95% confidence
intervals, but the 'levels' argument can be used to change that.
Hope this helps.
Spencer Graves
p.s. Are you familiar with Pinheiro and Bates (2000) Mixed-Effects
Models in S and S-Plus (Springer)? This book provides excellent
documentation for 'lme' and related functions as well as a solid
discussion of the relevant theory.
Nicola Koper wrote: Hi everyone, I want to use the standard errors associated with parameter estimates provided by lme and glme (correlatedData library) to calculate upper and lower 90% confidence limits for the parameter estimates, but I"m not sure how to do so with mixed models... e.g. calculating the t-value (@ alpha=0.1) to use in the calculation. I'm using Splus 6.2. Thanks alot, Nicky ************************************************************ Dr. Nicola Koper Assistant Professor Natural Resources Institute University of Manitoba __________________________________________________ Do You Yahoo!?Tired of spam? Yahoo! Mail has the best spam protection around http://mail.yahoo.com --------------------------------------------------------------------This message was distributed by s-news@lists.biostat.wustl.edu. To unsubscribe send e-mail to s-news-request@lists.biostat.wustl.edu with the BODY of the message: unsubscribe s-news |
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