[R-sig-ME] Error message
Daniel.Wright at act.org
Wed Oct 22 23:35:26 CEST 2014
The lme4 package has changed some. Details are in http://arxiv.org/pdf/1406.5823.pdf
For your problem, the first thing to note is glmer is now used instead of lmer for generalized linear models. Glancing at your model the other bits look like they should work.
Daniel B. Wright, Ph.D.
Statistical Research Division
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From: r-sig-mixed-models-bounces at r-project.org [mailto:r-sig-mixed-models-bounces at r-project.org] On Behalf Of Luciano La Sala
Sent: Wednesday, October 22, 2014 4:20 PM
Cc: r-sig-mixed-models at r-project.org
Subject: [R-sig-ME] Error message
A few years back I used to fit GLMM (binomial response) using lmer function in lme4. Back then I had to specify the family of response variable (dead /alive) as binomial. Now I have to refit those models using quite newer versions of both R (R x64 3.1.1) and lme4 (lme4_1.1-7), but things seem to have changed quite a bit.
My response variable is death (yes/no), and independent variables are Year (2006 / 2007), Sex (M / F), Egg volume (continuous), and Hatching Order (ordered factor variable, namely first, second, third). I need to control autocorrelation among siblings, so I use "Nest ID" to fit random intercepts for different nests.
My model is:
model.1 <- lmer(Death_2 ~ Year + Sex + Egg_Volume + Hatch_Order + (1|Nest_ID), family = binomial, data = Data)
But I get the error and warning messages below:
Error in eval(expr, envir, enclos) :
(maxstephalfit) PIRLS step-halvings failed to reduce deviance in pwrssUpdate In addition:Warning message:
In lmer(Death_2 ~ Year + Sex + Egg_Volume + Hatch_Order + (1 | Nest_ID), :
calling lmer with 'family' is deprecated; please use glmer() instead
Question: how can I circumvent these two issues?
Thanks in advance.
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