Message-ID: <MWHPR1201MB0029D25E050284B7882582C5D6940@MWHPR1201MB0029.namprd12.prod.outlook.com>
Date: 2018-05-22T02:41:27Z
From: dani
Subject: glmmTMB- fitting splines
In-Reply-To: <FF6A434C-32BB-430E-A3E3-E2FB739A2E97@anu.edu.au>
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
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:
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