[R-sig-ME] R-sig-mixed-models Digest, Vol 143, Issue 12

[Lenth, Russell V]

I screwed up -- in a kind of brown-paper-bag way...

I think it may work with emmeans if you do this:

recover.data <- function(object, ...) UseMethod("recover.data")
lsm.basis <- function(object, ...) UseMethod("lsm.basis")
recover.data.default <- function(object, ...) emmeans::recover_data(object, ...)
lsm.basis.default <- function(object, ...) emmeans::emm_basis(object, ...)

Hope this helps.

Russ Lenth

Russell V. Lenth  -  Professor Emeritus
Department of Statistics and Actuarial Science  
The University of Iowa  -  Iowa City, IA 52242  USA  
Voice [phone] (Dept. office)  -  FAX [phone]



-----Original Message-----

Message: 1
Date: Fri, 9 Nov 2018 12:24:47 +0000
From: Aoibheann Gaughran <***@tcd.ie>
To: r-sig-mixed-***@r-project.org
Subject: [R-sig-ME] post hoc tests for glmmTMB
Message-ID:
<CAN=0SEmQE6f=OAofUeSg_e2f-***@mail.gmail.com>
Content-Type: text/plain; charset="utf-8"

Dear list,

I am trying to perform post hoc tests on a glmmTMB model. I would normally use car::Anova and mulgcomp::glht on my glmms (lmers). However, these functions do not appear to be working for glmmTMB (when I run the model as an lmer they work fine). I have also tried lsmeans and emmeans but they do not appear to support glmmTMB either (although it appears they used to). I have found various treads online suggesting that these functions should work with TMB but they date back a few months.

I am using the most up to date versions of R (3.5.1) and have updated all of my packages e.g. glmmTMB 0.2.2.0, lsmeans 2.30-0
subscript out of bound
dimensions of coefficients and covariance matrix don't match
Can't handle an object of class “glmmTMB”
Use help("models", package = "emmeans") for information on supported models.> rw.emm.s <- emmeans(topmodTRFETE, "roadworks")Error in ref_grid(object, ...) :
Can't handle an object of class “glmmTMB”
Use help("models", package = "emmeans") for information on supported models.


Can any point me in the direction of a workaround for performing posthocs on my glmmTMB model?

Many thanks,