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mmodely
View on CRAN: Click
here
Download and install mmodely package within the R console
Install from CRAN:
install.packages("mmodely")
Install from Github:
library("remotes")
install_github("cran/mmodely") Install by package version:
library("remotes")
install_version("mmodely", "0.2.5") Attach the package and use:
library("mmodely")
Maintained by
David M Schruth
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-11-04
Latest Update: 2023-05-17
Description:
Perform multivariate modeling of evolved traits, with special attention to
understanding the interplay of the multi-factorial determinants of their origins
in complex ecological settings (Stephens, 2007 ).
This software primarily concentrates on phylogenetic regression analysis, enabling
implementation of tree transformation averaging and visualization functionality.
Functions additionally support information theoretic approaches
(Grueber, 2011 ;
Garamszegi, 2011 )
such as model averaging and selection of phylogenetic models.
Accessory functions are also implemented for coef standardization (Cade 2015),
selection uncertainty, and variable importance (Burnham & Anderson 2000).
There are other numerous functions for visualizing confounded variables,
plotting phylogenetic trees, as well as reporting and exporting modeling results.
Lastly, as challenges to ecology are inherently multifarious, and therefore often
multi-dataset, this package features several functions to support the identification,
interpolation, merging, and updating of missing data and outdated nomenclature.
How to cite:
David M Schruth (2022). mmodely: Modeling Multivariate Origins Determinants - Evolutionary Lineages in Ecology. R package version 0.2.5, https://cran.r-project.org/web/packages/mmodely. Accessed 15 Sep. 2026.
Previous versions and publish date:
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Other R packages that mmodely depends,
imports, suggests or enhances
Complete documentation for mmodely
Functions, R codes and Examples using
the mmodely R package
Some associated functions: average.fit.models . calc.q2n.ratio . cept . comp.data . compare.data.gs.vs.tree.tips . correct.AIC . count.mod.vars . ct.possible.models . drop.na.data . fit.1ln.rprt . get.mod.clmns . get.mod.outcome . get.mod.vars . get.model.combos . get.pgls.coefs . get.phylo.stats . gs.check . gs.names.mismatch.check . gs.rename . interpolate . missing.data . missing.fill.in . pgls.iter . pgls.iter.stats . pgls.print . pgls.report . pgls.wrap . plot.confound.grid . plot.pgls.R2AIC . plot.pgls.iters . plot.transformed.phylo . plot.xy.ab.p . select.best.models . sparge.modsel . trim.phylo . weight.IC .
Some associated R codes: IC.R . missing.data.R . models.R . pgls.R . phylogeny.R . phylosig.R . plotting.R . reporting.R . standarize.R . taxonomy.R . utility.R . Full mmodely package functions and examples
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