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A new R-based statistical software package for fitting multivariate generalized linear mixed models to large and complex datasets

Detalles Bibliográficos
Autores principales: Berridge, Damon, Crouchley, Robert, Grose, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Swansea University 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9351144/
http://dx.doi.org/10.23889/ijpds.v1i1.355
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author Berridge, Damon
Crouchley, Robert
Grose, Daniel
author_facet Berridge, Damon
Crouchley, Robert
Grose, Daniel
author_sort Berridge, Damon
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spelling pubmed-93511442022-08-18 A new R-based statistical software package for fitting multivariate generalized linear mixed models to large and complex datasets Berridge, Damon Crouchley, Robert Grose, Daniel Int J Popul Data Sci Article Swansea University 2017-04-19 /pmc/articles/PMC9351144/ http://dx.doi.org/10.23889/ijpds.v1i1.355 Text en https://creativecommons.org/licenses/by/4.0/This work is licenced under a Creative Commons Attribution 4.0 International License.
spellingShingle Article
Berridge, Damon
Crouchley, Robert
Grose, Daniel
A new R-based statistical software package for fitting multivariate generalized linear mixed models to large and complex datasets
title A new R-based statistical software package for fitting multivariate generalized linear mixed models to large and complex datasets
title_full A new R-based statistical software package for fitting multivariate generalized linear mixed models to large and complex datasets
title_fullStr A new R-based statistical software package for fitting multivariate generalized linear mixed models to large and complex datasets
title_full_unstemmed A new R-based statistical software package for fitting multivariate generalized linear mixed models to large and complex datasets
title_short A new R-based statistical software package for fitting multivariate generalized linear mixed models to large and complex datasets
title_sort new r-based statistical software package for fitting multivariate generalized linear mixed models to large and complex datasets
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9351144/
http://dx.doi.org/10.23889/ijpds.v1i1.355
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