glmmTMB- fitting splines
Hi John, Thank you so much! This is very helpful! I managed to run it but I am not sure how to interpret the results as I get this: # Conditional model: # Estimate Std. Error z value Pr(>|z|) # (Intercept) -8.40461 1.58077 -5.317 1.06e-07 *** # splines::ns(newage, 2)1 -1.89262 0.57246 -3.306 0.000946 *** # splines::ns(newage, 2)2 0.10296 0.47268 0.218 0.827575 I am not sure what to make of the two different spline results. Best regards, D
From: John Maindonald <john.maindonald at anu.edu.au>
Sent: Monday, May 21, 2018 7:10 PM
To: dani
Cc: r-sig-mixed-models at r-project.org
Subject: Re: [R-sig-ME] glmmTMB- fitting splines
Sent: Monday, May 21, 2018 7:10 PM
To: dani
Cc: r-sig-mixed-models at r-project.org
Subject: Re: [R-sig-ME] glmmTMB- fitting splines
There is an example at http://www.rpubs.com/johnhm/Overdispersed See Section 2.2 . John Maindonald email: john.maindonald at anu.edu.au<mailto:john.maindonald at anu.edu.au> On 22/05/2018, at 11:36, dani <orchidn at live.com<mailto:orchidn at live.com>> wrote: