[R] residual and null deviance of an lme object with correlation structure
Spencer Graves
spencer.graves at pdf.com
Mon Dec 19 00:57:31 CET 2005
To find generic functions with special methods written for objects of
class "lme", I used "methods":
> library(nlme)
> methods(class="lme")
[1] ACF.lme* anova.lme augPred.lme*
[4] BIC.lme* coef.lme* comparePred.lme*
[7] fitted.lme* fixef.lme* formula.lme*
[10] getData.lme* getGroups.lme* getGroupsFormula.lme*
[13] getResponse.lme* getVarCov.lme* intervals.lme*
[16] logLik.lme* pairs.lme* plot.lme
[19] predict.lme* print.anova.lme* print.lme*
[22] qqnorm.lme* ranef.lme* residuals.lme*
[25] simulate.lme summary.lme* update.lme*
[28] VarCorr.lme* Variogram.lme* vcov.lme*
Non-visible functions are asterisked
At least in many contexts, the deviance is (-2)*log(likelihood). If
that is what you want, then (-2)*logLik.lme should get that for you, as
with the following modification of the example from the documentation
for logLik.lme:
> fm1 <- lme(distance ~ Sex * age, Orthodont, random = ~ age,
method = "ML")
> (-2)*logLik(fm1)
[1] 427.8060
...
hope this helps,
spencer graves
Corey Bradshaw wrote:
> Hello,
>
> I am attempting to calculate the residual and null deviance of an lme
> object that includes a corAR1 correlation structure. I tried
> deviance(lme.object) and it only returned NULL. Can anyone help? Thank
> you.
>
> Corey Bradshaw
>
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--
Spencer Graves, PhD
Senior Development Engineer
PDF Solutions, Inc.
333 West San Carlos Street Suite 700
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spencer.graves at pdf.com
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