trajeR - une nouvelle librairie R pour les modèles de mélanges pour données longitudinales.

NOEL, Cédric; SCHILTZ, Jang

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trajeR - une nouvelle librairie R pour les modèles de mélanges pour données longitudinales.

NOEL, Cédric; SCHILTZ, Jang

2021 • In CNRIUT' 2021 - Recueil des Publications

Peer reviewed

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https://hdl.handle.net/10993/47791

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Disciplines :

Mathematics

Author, co-author :

NOEL, Cédric ; University of Luxembourg > Faculty of Science, Technology and Medecine (FSTM)

SCHILTZ, Jang ; University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > Department of Finance (DF)

External co-authors :

yes

Language :

French

Title :

trajeR - une nouvelle librairie R pour les modèles de mélanges pour données longitudinales.

Alternative titles :

[en] trajeR - a new R library for finite mixture models

Publication date :

June 2021

Event name :

CNRIUT' 2021

Event organizer :

IUT Lyon 1

Event place :

Lyon, France

Event date :

June 3-4, 2021

Main work title :

CNRIUT' 2021 - Recueil des Publications

Publisher :

Assemblée des directeurs d'IUT, France

Edition :

https://cnriut2021.sciencesconf.org/data/pages/CNRIUT2021_LYON.pdf

Peer reviewed :

Peer reviewed

Focus Area :

Computational Sciences

Available on ORBilu :

since 06 August 2021

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