Explore projects
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A short tutorial on (1) fitting basic Weibull survival models in NIMBLE, and (2) two types of shrinkage prior (Dirichlet-Laplace & Horseshoe) for Bayesian variable selection. https://umr-astre.pages.mia.inra.fr/training/nimble-Weibull-Shrinkage
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Support de présentation pour les sessions de formation bases de Linux et bonnes pratiques de développement informatique
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Datapaper describing dataverse collection on RMQS1 microbiological dataset (The French Soil Quality Monitoring Network). https://entrepot.recherche.data.gouv.fr/dataverse/rmqs_microbio
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Analysis of Sterile-Insect Technique Mark-Release-Recapture and pilot population-suppression trial data from Indonesia. https://umr-astre.pages.mia.inra.fr/sit-indonesia/
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Slides for the session on Reproducible Research in R at MOOD's summer school 2022. https://umr-astre.pages.mia.inra.fr/presentations/reproducible-research-in-r Recording: https://av.tib.eu/media/13751
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code regroupant mes fichiers supports pour la création de présentations. Le main ne contiendra que les fichiers sources et je vais créer une branche pour chaque nouvelle présentation.
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Slides for the talk entitled "The irruption of the AI" at the 2022 conference of the Spanish Society of Statistics and Operations Research (SEIO), in Granda, Spain. https://umr-astre.pages.mia.inra.fr/presentations/irruption-ai
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GQE-BASE / MiniRead
GNU General Public License v3.0 onlyHardware description and pieces of software for DIY MiniRead 96-well plate optical reader, designed to monitor growth kinetics of yeast (or bacterial) cells.
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metagenopolis / benchmark_mock
GNU General Public License v3.0 or laterBenchmark second and third generation sequencing technologies on 3 synthetic microbial communities
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Library to manage in Fortran machine-independent data formats that support the creation, access, and sharing of array-oriented scientific data.
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Contains code to create and manage the SUDOANG rivers database
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Aurelien Cottin / Rmarkdown workshop 2022
Creative Commons Attribution 4.0 International2h workshop slideshow on how to use Rmarkdown format for writing reproducible report (or slideshow, or even paper)
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