WAIC?

[Scarlett Taylor]

Hi there, 

I'm wondering if there is a way to get WAIC scores instead of AIC scores from Distance in R for model selection with MCDS? 

Best, 

Scarlett Taylor  (she/her)
MSc. Candidate
Integrated Fisheries Lab | Department of Biology | LSC 7088
Dalhousie University | Halifax, NS B3H 4R2

Halifax Coordinator: 

Sharks of the Atlantic Research and Conservation Centre (ShARCC)

e: scarlet...@dal.ca
c: (905) 872-8534

[Eric Rexstad]

Scarlett

WAIC is not computed by the ds()​function.  There is a function AIC()​ in the Distance package that can compute Bayes Information Criterion (BIC) by setting the argument k​ to be the natural log of the number of detections.

Example here if modelobj​ is the object returned by ds()​ and nval​ is the number of detections.

BIC <- AIC(modelobj, k = log(nval))$AIC

As I understand WAIC, it requires a posterior distribution of parameters, hence is Bayesian in nature.  The Distance package does not carry out Bayesian estimation.

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From: distance...@googlegroups.com <distance...@googlegroups.com> on behalf of Scarlett Taylor <scarlet...@hotmail.com>
Sent: 16 September 2021 17:49
To: distance-sampling <distance...@googlegroups.com>
Subject: {Suspected Spam} [distance-sampling] WAIC?

 

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[Scarlett Taylor]

Hi Eric, 

Thanks for confirming my suspicions. That's what I was thinking, but I wanted to confirm it before going back to my supervisor and telling them it wasn't possible. It's nice to know that you can calculate BIC however! 

Cheers, 

Scarlett