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Welcome to the TMB/RTMB Users email list!

Before posting, please check the wiki and issuetracker at https://github.com/kaskr/adcomp/. Please try to create a simple repeatable example to go with your question (e.g issues 154, 134, 51).

For questions about glmmTMB, please carefully read https://github.com/glmmTMB/glmmTMB#where-to-ask-questions while considering if you should write to this group or not.

Thanks!

0 selected

Jan-Ole Koslik, Kasper Kristensen4

Sep 18

checkConsistency error

Yes, density accumulation should be in 'topological order' just like you would order a

unread,

checkConsistency error

Yes, density accumulation should be in 'topological order' just like you would order a

Sep 18

James Thorson, Kasper Kristensen2

Sep 18

Inverse subset: order 2 not yet implemented

A temporary fix is to disable this atomic, which is indirectly generated as the log determinant

unread,

Inverse subset: order 2 not yet implemented

A temporary fix is to disable this atomic, which is indirectly generated as the log determinant

Sep 18

Tomas T., … Ben Bolker6

Sep 10

MakeTape throws an error: Error in advector(y) : Invalid argument to 'advector' (lost class attribute?)

Dear Ben, Phillip, all, Ben, thank you very much for the new README! This is awesome, exactly what I

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MakeTape throws an error: Error in advector(y) : Invalid argument to 'advector' (lost class attribute?)

Dear Ben, Phillip, all, Ben, thank you very much for the new README! This is awesome, exactly what I

Sep 10

Tomas T., Kasper Kristensen3

Sep 10

Get only hessian diagonal instead of the whole hessian matrix?

Thanks Kasper! This works perfectly, and it is fast! I was also able to get the 3rd derivative by F$

unread,

Get only hessian diagonal instead of the whole hessian matrix?

Thanks Kasper! This works perfectly, and it is fast! I was also able to get the 3rd derivative by F$

Sep 10

Mollie Brooks, Kasper Kristensen3

Aug 29

oneStepPredict parallel=TRUE

Just to follow up on this. I confirmed that the code wasn't using all 20 cores that I requested

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oneStepPredict parallel=TRUE

Just to follow up on this. I confirmed that the code wasn't using all 20 cores that I requested

Aug 29

Rishika Chopara, Mollie Brooks5

Aug 18

Fitting SCR models using RTMB

PS Since your problem has a matrix in the data, here's a version with that. indx1 = 1:500 dat1 =

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Fitting SCR models using RTMB

PS Since your problem has a matrix in the data, here's a version with that. indx1 = 1:500 dat1 =

Aug 18

Paul vdb, Kasper Kristensen3

Aug 15

Efficient data updates for EM algorithm

That's neat. I wouldn't have thought of that with my head stuck in MakeADFun. The nested

unread,

Efficient data updates for EM algorithm

That's neat. I wouldn't have thought of that with my head stuck in MakeADFun. The nested

Aug 15

Jan-Ole Koslik, … Phillip Vetter7

Aug 9

B-spline derivatives

Just to answer my own question: Yes it is. https://github.com/kaskr/RTMB/blob/

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B-spline derivatives

Just to answer my own question: Yes it is. https://github.com/kaskr/RTMB/blob/

Aug 9

Richard Chandler, Kasper Kristensen3

Aug 7

dpois(0,0,true) returns NaN

Thanks, I'll test that out. The dpois2 hack seems to work fine as well. On Wednesday, August 6,

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dpois(0,0,true) returns NaN

Thanks, I'll test that out. The dpois2 hack seems to work fine as well. On Wednesday, August 6,

Aug 7

Jan-Ole Koslik, Kasper Kristensen5

Aug 5

Memory spike with RTMB

Actually, the sapply() part is wrong, same memory requirements. I was mislead here. Jan-Ole Koslik

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Memory spike with RTMB

Actually, the sapply() part is wrong, same memory requirements. I was mislead here. Jan-Ole Koslik

Aug 5

Jan-Ole Koslik, Kasper Kristensen5

Aug 1

Yes, I'm doing that at the moment but it leads to some other problems :/ kasper.k...@gmail.com

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Yes, I'm doing that at the moment but it leads to some other problems :/ kasper.k...@gmail.com

Aug 1

KUNASEKARAN NIRMALKANNA, Kasper Kristensen2

Jul 28

AD to numeric in RTMB

Reported objects should never be AD. Quoting from ?advector: An 'advector' is a class used

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AD to numeric in RTMB

Reported objects should never be AD. Quoting from ?advector: An 'advector' is a class used

Jul 28

Jan-Ole Koslik, Kasper Kristensen3

Jul 28

Sparsity loss with matrix-vector multiplication

The 'RTMB-advanced' vignette has a bit of information on this - see section 'Tape

unread,

Sparsity loss with matrix-vector multiplication

The 'RTMB-advanced' vignette has a bit of information on this - see section 'Tape

Jul 28

Paul vdb, Kasper Kristensen2

Jun 26

expAv undeflow/overflow tricks

It's a problem in RTMB that needs to be fixed. I've opened a github issue. On Thursday, June

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expAv undeflow/overflow tricks

It's a problem in RTMB that needs to be fixed. I've opened a github issue. On Thursday, June

Jun 26

Timothée Flutre, … Kasper Kristensen6

Jun 25

error returned by MakeADFun to fit LMM with correlated random effects and errors

Thank you! I will follow this direction (after updating my system because for me "p triplets

unread,

error returned by MakeADFun to fit LMM with correlated random effects and errors

Thank you! I will follow this direction (after updating my system because for me "p triplets

Jun 25

Jan-Ole Koslik, … Kasper Kristensen3

Jun 25

Printing of "Retaping: Nold=... Nnew=..." when using expAv()

Also note that this output can be disabled using the `trace` argument - see ?expAv. On Tuesday, June

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Printing of "Retaping: Nold=... Nnew=..." when using expAv()

Also note that this output can be disabled using the `trace` argument - see ?expAv. On Tuesday, June

Jun 25

Jan-Ole Koslik, Kasper Kristensen4

Jun 24

Filling sparse matrices

Thanks! kasper.k...@gmail.com schrieb am Mittwoch, 18. Juni 2025 um 10:23:01 UTC+2: I think this

unread,

Filling sparse matrices

Thanks! kasper.k...@gmail.com schrieb am Mittwoch, 18. Juni 2025 um 10:23:01 UTC+2: I think this

Jun 24

houessou madjid

Jun 16

Log Gaussian Cox Process in TMB

Hi all, I am trying to implement the LGCP in TMB in which i approximate the gaussian random field by

unread,

Log Gaussian Cox Process in TMB

Hi all, I am trying to implement the LGCP in TMB in which i approximate the gaussian random field by

Jun 16

Jan-Ole Koslik, Kasper Kristensen2

Jun 13

Problems with eigen()

It's because `eigen(.,symmetric=FALSE)` gives a complex factorization - perhaps you want

unread,

Problems with eigen()

It's because `eigen(.,symmetric=FALSE)` gives a complex factorization - perhaps you want

Jun 13

Jan-Ole Koslik, … Kasper Kristensen5

Jun 13

logspace add RTMB

Thanks to both of you! kasper.k...@gmail.com schrieb am Freitag, 6. Juni 2025 um 10:00:43 UTC+2: Ben,

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logspace add RTMB

Thanks to both of you! kasper.k...@gmail.com schrieb am Freitag, 6. Juni 2025 um 10:00:43 UTC+2: Ben,

Jun 13

houessou madjid

Jun 12

How to implement the Log Gaussian Cox Process in TMB

Hi all, I am trying to implement the LGCP in TMB in which i approximate the gaussian random field by

unread,

How to implement the Log Gaussian Cox Process in TMB

Hi all, I am trying to implement the LGCP in TMB in which i approximate the gaussian random field by

Jun 12

Ben Bolker, … Kasper Kristensen4

Jun 4

TMBad vs cppAD documentation?

Thanks, Kasper. All my "TMBad vs CppAD" searching had failed to find this, it's very

unread,

TMBad vs cppAD documentation?

Thanks, Kasper. All my "TMBad vs CppAD" searching had failed to find this, it's very

Jun 4

Jan-Ole Koslik, Hans Skaug3

May 10

Custom hessian sparsity pattern

Thanks Hans, I feared that but I wanted to make sure there is no simple way first. :D Hans Skaug

unread,

Custom hessian sparsity pattern

Thanks Hans, I feared that but I wanted to make sure there is no simple way first. :D Hans Skaug

May 10

Alexios Galanos

Apr 17

hessian: he(...,atomic = usingAtomics())

I've noticed a strange behavior when checking my package against some O/S on rhub. Assume I set

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hessian: he(...,atomic = usingAtomics())

I've noticed a strange behavior when checking my package against some O/S on rhub. Assume I set

Apr 17

Ben Bolker, james...@gmail.com2

Apr 16

factor-analytic/reduced-rank models

Two quick thoughts: I agree that the space-space version (ie, with projected factors as random

unread,

factor-analytic/reduced-rank models

Two quick thoughts: I agree that the space-space version (ie, with projected factors as random

Apr 16

Allison Queiroz de Oliveira, Ben Bolker3

Apr 7

One inflated modelling using glmmTMB

Hi Ben! Thank you very for your reply. I have found a way using the gamlss package with the family

unread,

One inflated modelling using glmmTMB

Hi Ben! Thank you very for your reply. I have found a way using the gamlss package with the family

Apr 7

Apr 6

atomic vector 1rst and 2nd derivatives

Hello all, I am estimating a likelihood function that implies the use of the parabolic cylinder

unread,

atomic vector 1rst and 2nd derivatives

Hello all, I am estimating a likelihood function that implies the use of the parabolic cylinder

Apr 6

brandon...@gmail.com

Apr 1

Hello, I'm working on some SEM models. If the developers are interested in adding a Wishart

unread,

Hello, I'm working on some SEM models. If the developers are interested in adding a Wishart

Apr 1

James Thorson, Ben Bolker2

Mar 26

DataEval(.) example usage?

+1. Is there a discussion of the pros and cons of DATA_UPDATE somewhere (other than the basic caveats

unread,

DataEval(.) example usage?

+1. Is there a discussion of the pros and cons of DATA_UPDATE somewhere (other than the basic caveats

Mar 26

Rujia Bi, Kasper Kristensen4

Mar 25

sdreport error "problem too large"

Dear Kasper, Thank you for your response. I finally solved this problem by setting: rep <-

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sdreport error "problem too large"

Dear Kasper, Thank you for your response. I finally solved this problem by setting: rep <-

Mar 25

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