Closed kenkellner closed 4 years ago
Good idea
Andy, did you get around to submitting Ken's changes to CRAN? If you're too busy, do you want me to do it?
On Wed, Oct 2, 2019 at 7:06 PM Ken Kellner notifications@github.com wrote:
Probably need to convert fitList() into a method instead of a regular function.
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Hey man , Sorry about that ... if you have time that would be great ... on my way home rider now and traveling again the next 2 weeks I’m afraid ... just no time lately. Sorry man!
Great seeing you this week , wish I could have spent the whole week , what a great meeting! Regards Andy
Sent from my iPhone
On Oct 3, 2019, at 12:35 PM, Richard Chandler richard.chandlers@gmail.com wrote:
Andy, did you get around to submitting Ken's changes to CRAN? If you're too busy, do you want me to do it?
On Wed, Oct 2, 2019 at 7:06 PM Ken Kellner notifications@github.com wrote:
Probably need to convert fitList() into a method instead of a regular function.
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I am working on a patch that's almost done for automated model selection with all covariate subsets (like MuMIn::dredge()
) inspired by Dana Morin's talk. If you want to wait for that and the adjustments to fitList
I will probably get them done in the next week.
Ken, I'm a bit concerned that "all subsets" approaches can increase the chance of finding spurious results. Is there a strong need to add that functionality if it already exists in other packages?
Sorry I didn't get a chance to meet you at the meeting yesterday. Next time!
On Thu, Oct 3, 2019, 12:28 PM Ken Kellner notifications@github.com wrote:
I am working on a patch that's almost done for automated model selection with all covariate subsets (like MuMIn::dredge()) inspired by Dana Morin's talk. If you want to wait for that and the adjustments to fitList I will probably get them done in the next week.
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Well, I don't think there's any existing approach that works with unmarked models (given the unique multi-formula structure). But I understand the concern about questionable results.
The dredge stuff is really just a wrapper on a function for fitting a bunch of specific models together / in parallel. That at least seems worth including to me since many people seem to be fitting large numbers of models based on different hypotheses etc. and there currently isn't a quick way to do that.
Ok, sounds good. Will you send the tar ball to Andy and me when it's ready? Andy will upload it to cran.
On Thu, Oct 3, 2019, 1:55 PM Ken Kellner notifications@github.com wrote:
Well, I don't think there's any existing approach that works with unmarked models (given the unique multi-formula structure). But I understand the concern about questionable results.
The dredge stuff is really just a wrapper on a function for fitting a bunch of specific models together / in parallel. That at least seems worth including to me since many people seem to be fitting large numbers of models based on different hypotheses etc. and there currently isn't a quick way to do that.
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hi fellas, I've been sicker than a dog since returning from TWS and hope to have my head back above water later this week. Sorry to be out of touch. If someone can send me the tarball I will upload it so as to not have to change maintainer. Sorry to drop the ball on this but I have a trip next week that I have to focus all burners on right now... regards andy
On Thu, Oct 3, 2019 at 6:36 PM Richard Chandler notifications@github.com wrote:
Ok, sounds good. Will you send the tar ball to Andy and me when it's ready? Andy will upload it to cran.
On Thu, Oct 3, 2019, 1:55 PM Ken Kellner notifications@github.com wrote:
Well, I don't think there's any existing approach that works with unmarked models (given the unique multi-formula structure). But I understand the concern about questionable results.
The dredge stuff is really just a wrapper on a function for fitting a bunch of specific models together / in parallel. That at least seems worth including to me since many people seem to be fitting large numbers of models based on different hypotheses etc. and there currently isn't a quick way to do that.
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Probably need to convert fitList() into a method instead of a regular function.