Package: DImodelsMulti 1.1.1

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_1.1.1.tar.gz
DImodelsMulti_1.1.1.zip(r-4.5)DImodelsMulti_1.1.1.zip(r-4.4)DImodelsMulti_1.1.1.zip(r-4.3)
DImodelsMulti_1.1.1.tgz(r-4.4-any)DImodelsMulti_1.1.1.tgz(r-4.3-any)
DImodelsMulti_1.1.1.tar.gz(r-4.5-noble)DImodelsMulti_1.1.1.tar.gz(r-4.4-noble)
DImodelsMulti_1.1.1.tgz(r-4.4-emscripten)DImodelsMulti_1.1.1.tgz(r-4.3-emscripten)
DImodelsMulti.pdf |DImodelsMulti.html
DImodelsMulti/json (API)

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

Peer review:

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

Datasets:
  • 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:

4.41 score 13 scripts 596 downloads 3 exports 51 dependencies

Last updated 5 months agofrom:40374f1cd6. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 26 2024
R-4.5-winOKOct 26 2024
R-4.5-linuxOKOct 26 2024
R-4.4-winOKOct 26 2024
R-4.4-macOKOct 26 2024
R-4.3-winOKOct 26 2024
R-4.3-macOKOct 26 2024

Exports:AICcBICcDImulti

Dependencies:clicodetoolscolorspaceDImodelsdplyrevaluatefansifarvergenericsggplot2gluegtablehighrhnpisobandknitrlabelinglatticelifecyclemagrittrMASSMatrixmgcvmultcompmunsellmvtnormnlmepillarpkgconfigplyrR6RColorBrewerRcppreshape2rlangrootSolvesandwichscalesstringistringrsurvivalTH.datatibbletidyselectutf8vctrsviridisLitewithrxfunyamlzoo

Common errors & warnings encountered in DImulti()

Rendered fromDImulti_commonErrors.Rmdusingknitr::rmarkdownon Oct 26 2024.

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

On prediction from multivariate repeated measures DI models

Rendered fromDImulti_prediction.Rmdusingknitr::rmarkdownon Oct 26 2024.

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

On the usage and estimation of theta in DImulti()

Rendered fromDImulti_onTheta.Rmdusingknitr::rmarkdownon Oct 26 2024.

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

The recommended workflow of DImulti() analyses

Rendered fromDImulti_workflow.Rmdusingknitr::rmarkdownon Oct 26 2024.

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