[R-sig-ME] How to run an Auto Regressive Generalized Linear Mixed Model

Ben Bolker bbo|ker @end|ng |rom gm@||@com
Wed Jun 23 15:27:56 CEST 2021

    You can use the glmmPQL function in the MASS package; the glmmTMB 
package can also handle autoregressive GLMMs. (Also, MCMCglmm and brms 
if you want to go Bayesian.)

On 6/23/21 6:25 AM, Danielle Rudley wrote:
> Hello all,
> I'm trying to run Auto Regressive Linear Mixed Models in R using the nlme()
> package. For my continuous response variables I have used lme() with the
> correlation set as 'corAR1()', but one of my response variables has a
> poisson distribution (i.e.- count of number of conductive xylem cells). I
> was wondering how to run an AR Generalized LMM within the nlme() package,
> or if there was another solution to this. Thanks so much for your help.
> Cheers,

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