Package: DImodelsMulti 1.2.1

DImodelsMulti: Fit Multivariate Diversity-Interactions Models with Repeated Measures

An add-on package to 'DImodels' for the fitting of biodiversity and ecosystem function relationship study data with multiple ecosystem function responses and/or time points. This package uses the multivariate and repeated measures Diversity-Interactions (DI) methods developed by Kirwan et al. (2009) <doi:10.1890/08-1684.1>, Finn et al. (2013) <doi:10.1111/1365-2664.12041>, and Dooley et al. (2015) <doi:10.1111/ele.12504>.

Authors:Laura Byrne [aut, cre], Rishabh Vishwakarma [aut], Rafael de Andrade Moral [aut], Caroline Brophy [aut]

DImodelsMulti_1.2.1.tar.gz
DImodelsMulti_1.2.1.zip(r-4.7-any)DImodelsMulti_1.2.1.zip(r-4.6-any)DImodelsMulti_1.2.1.zip(r-4.5-any)
DImodelsMulti_1.2.1.tgz(r-4.6-any)DImodelsMulti_1.2.1.tgz(r-4.5-any)
DImodelsMulti_1.2.1.tar.gz(r-4.7-any)DImodelsMulti_1.2.1.tar.gz(r-4.6-any)
DImodelsMulti_1.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
DImodelsMulti/json (API)

# Install 'DImodelsMulti' in R:
install.packages('DImodelsMulti', repos = c('https://di-laurabyrne.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/di-laurabyrne/dimodelsmulti/issues

Pkgdown/docs site:https://di-laurabyrne.github.io

Datasets:
  • Belgium - The extended Belgium dataset
  • Belgium_MV - The multivariate Belgium dataset
  • Belgium_RM - The repeated measures Belgium dataset
  • dataBEL - The Belgium dataset
  • dataSWE - The Sweden dataset
  • simMV - The simulated multivariate "simMV" dataset
  • simMVRM - The simulated multivariate repeated measures "simMVRM" dataset
  • simRM - The simulated repeated measures "simRM" dataset

On CRAN:

Conda:

4.76 score 29 scripts 400 downloads 4 exports 72 dependencies

Last updated from:0a70f031ef. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK162
source / vignettesOK213
linux-releaseOK160
macos-releaseOK179
macos-oldrelOK183
windows-develOK114
windows-releaseOK119
windows-oldrelOK107
wasm-releaseOK132

Exports:AICcBICcDImultiDImultiApp

Dependencies:base64encbslibcachemclicodetoolscommonmarkcpp11digestDImodelsdplyrevaluatefarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhnphtmltoolshttpuvisobandjquerylibjsonliteknitrlabelinglaterlatticelifecyclemagrittrMASSMatrixmemoisemimemultcompmultcompViewmvtnormnlmeotelpillarpkgconfigplyrpromisesR6rappdirsRColorBrewerRcppreshape2rlangrootSolveS7sandwichsassscalesshinysourcetoolsstringistringrsurvivalTH.datatibbletidyselectutf8vctrsviridisLitewithrxfunxtableyamlzoo

The recommended workflow of DImulti() analyses
Rendered fromDImulti_workflow.Rmdusingknitr::rmarkdown

Last update: 2025-12-10
Started: 2024-06-27

Common errors & warnings encountered in DImulti()
Rendered fromDImulti_commonErrors.Rmdusingknitr::rmarkdown

Last update: 2025-08-21
Started: 2024-06-27

On the usage and estimation of theta in DImulti()
Rendered fromDImulti_onTheta.Rmdusingknitr::rmarkdown

Last update: 2025-08-21
Started: 2024-06-27

On prediction from multivariate repeated measures DI models
Rendered fromDImulti_prediction.Rmdusingknitr::rmarkdown

Last update: 2024-06-27
Started: 2024-06-27