MarcLavielle / Rsmlx

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bootmlx only generates dataset but not run #10

Open QuanTruongAnh opened 2 years ago

QuanTruongAnh commented 2 years ago

Dear Marc,

The function bootmlx does not seem to work on R 4.0.2 and R Studio version 2022. It only generates dataset but does not run.

I have tried to install your latest update of Rmlx on github (4.2.2) but I can't solve the problem

Thanks for your help and for the different packages and software you develop ! They are great !

Quan image

MarcLavielle commented 2 years ago

Thanks for your comment :-)

that's really strange since this bug was fixed with version 4.0.2 ... can you run the demo example ?

best, Marc

Le sam. 14 mai 2022 à 20:29, Quan Truong Anh @.***> a écrit :

Dear Marc,

The function bootmlx does not seem to work on R 4.0.2 and R Studio version

  1. It only generates dataset but does not run.

I have tried to install your latest update of Rmlx on github (4.2.2) but I can't solve the problem

Thanks for your help and for the different packages and software you develop ! They are great !

Quan [image: image] https://user-images.githubusercontent.com/101043073/168444111-f6f42c64-9299-44c2-8eb1-3cac3878eb10.png

— Reply to this email directly, view it on GitHub https://github.com/MarcLavielle/Rsmlx/issues/10, or unsubscribe https://github.com/notifications/unsubscribe-auth/ACO7FOWB63HYUVVUPU5YM3TVJ7WKDANCNFSM5V55K2QA . You are receiving this because you are subscribed to this thread.Message ID: @.***>

-- Marc Lavielle Research Director at Inria Head of the Xpop team

address:

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QuanTruongAnh commented 2 years ago

Hi Marc,

Yes other demo examples work well, which makes me confuse what is wrong with my mlxtran file.

I have re-ran my model on Monolix 2021 to get mlxtran file or looked at the dataset again but nothing seems wrong?

All datasets generated by bootmlx seem to run well in Monolix, which is more tricky to figure out my bootmlx function did not work

Can I have your email to sent my dataset to you?

Thank you very much

Quan.

MarcLavielle commented 2 years ago

@.***

Le dim. 15 mai 2022 à 07:07, Quan Truong Anh @.***> a écrit :

Hi Marc,

Yes other demo examples work well, which makes me confuse what is wrong with my mlxtran file.

I have re-ran my model on Monolix 2021 to get mlxtran file or looked at the dataset again but nothing seems wrong?

All datasets generated by bootmlx seem to run well in Monolix, which is more tricky to figure out my bootmlx function did not work

Can I have your email to sent my dataset to you?

Thank you very much

Quan.

— Reply to this email directly, view it on GitHub https://github.com/MarcLavielle/Rsmlx/issues/10#issuecomment-1126861664, or unsubscribe https://github.com/notifications/unsubscribe-auth/ACO7FOTDLQRNWZGDRTCOKXTVKCBBTANCNFSM5V55K2QA . You are receiving this because you commented.Message ID: @.***>

RicardoNalda commented 1 year ago

Dear Marc and Quan, We experience the same issue with our data, using Rsmlx 5.0.1. I don´t know whether the problem was resolved or not. In our case, the issue was the steady state column in the dataset. If the steady state is present, the datasets are correctly created, but then R freezes. If we don´t use the steady state (in the same dataset), the bootstrap works fine. Ricardo

JUMP-t commented 1 year ago

Dear Marc and other users, I am experiencing the same issue with the new version. Is the issue resolved? Thank you Surendhar

VSchoening commented 9 months ago

Dear Marc

I updated to Rsmlx 2023.1.2, but bootmlx still gets stuck after building the first dataset. My dataset has occasions and iov is estimated. Other examples from the model library are running fine.

Do you know any workaround for this issue?

Thank you and kind regards, Verena

MarcLavielle commented 9 months ago

thank you Verena for reporting this bug. Can you send me a project so that I can reproduce and fix it? best regards,

Marc

@.***

Le jeu. 5 oct. 2023 à 10:39, VSchoening @.***> a écrit :

Dear Marc

I updated to Rsmlx 2023.1.2, but bootmlx still gets stuck after building the first dataset. My dataset has occasions and iov is estimated. Other examples from the model library are running fine.

Do you know any workaround for this issue?

Thank you and kind regards, Verena

— Reply to this email directly, view it on GitHub https://github.com/MarcLavielle/Rsmlx/issues/10#issuecomment-1748385252, or unsubscribe https://github.com/notifications/unsubscribe-auth/ACO7FOTFYEKVVAJVXRY5UJTX5ZW2XAVCNFSM5V55K2QKU5DIOJSWCZC7NNSXTN2JONZXKZKDN5WW2ZLOOQ5TCNZUHAZTQNJSGUZA . You are receiving this because you commented.Message ID: @.***>

VSchoening commented 8 months ago

Dear Marc

Thank you so much for your answer and your offer!

Please find attached the mlxtran-file, the data, and the model file. We highly appreciate your support, as the bootstrapping is the only missing step in our model analysis.

Have a great day and kind regards,

Verena

INSELSPITAL

Dr. Verena Schöning Postdoctoral researcher

Inselspital, University Hospital Bern, Switzerland Department of General Internal Medicine, Clinical Pharmacology and Toxicology

E-Mail: @.**@.> www.insel.chhttp://www.insel.ch/

Von: Marc Lavielle @.> Gesendet: Dienstag, 10. Oktober 2023 13:14 An: MarcLavielle/Rsmlx @.> Cc: Schöning, Verena @.>; Comment @.> Betreff: Re: [MarcLavielle/Rsmlx] bootmlx only generates dataset but not run (Issue #10)

thank you Verena for reporting this bug. Can you send me a project so that I can reproduce and fix it? best regards,

Marc

@.***

Le jeu. 5 oct. 2023 à 10:39, VSchoening @.***> a écrit :

Dear Marc

I updated to Rsmlx 2023.1.2, but bootmlx still gets stuck after building the first dataset. My dataset has occasions and iov is estimated. Other examples from the model library are running fine.

Do you know any workaround for this issue?

Thank you and kind regards, Verena

— Reply to this email directly, view it on GitHub https://github.com/MarcLavielle/Rsmlx/issues/10#issuecomment-1748385252, or unsubscribe https://github.com/notifications/unsubscribe-auth/ACO7FOTFYEKVVAJVXRY5UJTX5ZW2XAVCNFSM5V55K2QKU5DIOJSWCZC7NNSXTN2JONZXKZKDN5WW2ZLOOQ5TCNZUHAZTQNJSGUZA . You are receiving this because you commented.Message ID: @.***>

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DESCRIPTION: The administration is via an infusion (requires INFUSION RATE or INFUSION DURATION column-type in the data set). The PK model has one compartment (volume V) and a linear elimination (clearance Cl).

linear binding

[LONGITUDINAL] input = {V, Cl, kb}

PK: ; PK model definition Cc_u = pkmodel(V, Cl) Cc_b = kb*Cc_u Cc_t = Cc_u + Cc_b

OUTPUT: output = {Cc_t, Cc_u}

MarcLavielle commented 8 months ago

Hi Verena

I didn't receive the attached files. I guess that you should send them directly from your email address best,

Marc

Le lun. 16 oct. 2023 à 10:19, VSchoening @.***> a écrit :

Dear Marc

Thank you so much for your answer and your offer!

Please find attached the mlxtran-file, the data, and the model file. We highly appreciate your support, as the bootstrapping is the only missing step in our model analysis.

Have a great day and kind regards,

Verena

INSELSPITAL

Dr. Verena Schöning Postdoctoral researcher

Inselspital, University Hospital Bern, Switzerland Department of General Internal Medicine, Clinical Pharmacology and Toxicology

E-Mail: @.**@.> www.insel.chhttp://www.insel.ch/

Von: Marc Lavielle @.> Gesendet: Dienstag, 10. Oktober 2023 13:14 An: MarcLavielle/Rsmlx @.> Cc: Schöning, Verena @.>; Comment @.> Betreff: Re: [MarcLavielle/Rsmlx] bootmlx only generates dataset but not run (Issue #10)

thank you Verena for reporting this bug. Can you send me a project so that I can reproduce and fix it? best regards,

Marc

@.***

Le jeu. 5 oct. 2023 à 10:39, VSchoening @.***> a écrit :

Dear Marc

I updated to Rsmlx 2023.1.2, but bootmlx still gets stuck after building the first dataset. My dataset has occasions and iov is estimated. Other examples from the model library are running fine.

Do you know any workaround for this issue?

Thank you and kind regards, Verena

— Reply to this email directly, view it on GitHub https://github.com/MarcLavielle/Rsmlx/issues/10#issuecomment-1748385252,

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DESCRIPTION: The administration is via an infusion (requires INFUSION RATE or INFUSION DURATION column-type in the data set). The PK model has one compartment (volume V) and a linear elimination (clearance Cl).

linear binding

[LONGITUDINAL] input = {V, Cl, kb}

PK: ; PK model definition Cc_u = pkmodel(V, Cl) Cc_b = kb*Cc_u Cc_t = Cc_u + Cc_b

OUTPUT: output = {Cc_t, Cc_u}

— Reply to this email directly, view it on GitHub https://github.com/MarcLavielle/Rsmlx/issues/10#issuecomment-1763966684, or unsubscribe https://github.com/notifications/unsubscribe-auth/ACO7FOQRUJOEJH64PQEB3R3X7TU27AVCNFSM5V55K2QKU5DIOJSWCZC7NNSXTN2JONZXKZKDN5WW2ZLOOQ5TCNZWGM4TMNRWHA2A . You are receiving this because you commented.Message ID: @.***>