Package: TraitEnvMLMWA 0.9001
TraitEnvMLMWA: Weighted Averaging (WA) and Multi-Level Methods (MLM) for Trait-Environment Association in Functional and Community Ecology
This package grew out of the paper New robust weighted averaging- and model-based methods for assessing trait-environment relationships (Methods in Ecology and Evolution). The model-based methods are GLMMs, here called multi-level models (MLM), of which the novel MLM3 outperforms all existing methods. MLM3 has up to 30% more power, but the WA-methods are 500 times faster than MLM3. The main function for WA-methods is CWMSNC_regressions. The main functions for MLM3 are make_obj_for_traitenv, expand4glmm and MLM3_p_max.
Authors:
TraitEnvMLMWA_0.9001.tar.gz
TraitEnvMLMWA_0.9001.zip(r-4.7)TraitEnvMLMWA_0.9001.zip(r-4.6)TraitEnvMLMWA_0.9001.zip(r-4.5)
TraitEnvMLMWA_0.9001.tgz(r-4.6-any)TraitEnvMLMWA_0.9001.tgz(r-4.5-any)
TraitEnvMLMWA_0.9001.tar.gz(r-4.7-any)TraitEnvMLMWA_0.9001.tar.gz(r-4.6-any)
TraitEnvMLMWA_0.9001.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
TraitEnvMLMWA/json (API)
| # Install 'TraitEnvMLMWA' in R: |
| install.packages('TraitEnvMLMWA', repos = c('https://cajoterbraak.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/cajoterbraak/traitenvmlmwa/issues
- MLM3 - MLM3-fit to Revisit data using trait C:N ratio and environmental variable TMG
- MLM3_Aravo - Quadratic MLM3-fit to Aravo data using SLA and Snow
- Revisit - Revisit data
Last updated from:02216b3097. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 213 | ||
| source / vignettes | OK | 189 | ||
| linux-release-x86_64 | OK | 200 | ||
| macos-release-arm64 | OK | 153 | ||
| macos-oldrel-arm64 | OK | 143 | ||
| windows-devel | OK | 184 | ||
| windows-release | OK | 150 | ||
| windows-oldrel | OK | 191 | ||
| wasm-release | OK | 107 |
Exports:Bootstrap_test_prmtrcCWMSNC_regressionsdat4MLM2TE_objexpand4glmmmake_obj_for_traitenvMLM3_p_maxplot_MLM3WA_p_max
Dependencies:backportsbootbroomclicolorspacecowplotcpp11DerivdoBydplyrfarverforecastfracdiffgenericsggplot2glmmTMBgluegtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixmgcvmicrobenchmarkminqamodelrnlmenloptrnnetnumDerivpbkrtestpermutepillarpkgconfigpurrrR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7sandwichscalesstringistringrtibbletidyrtidyselecttimeDateTMBurcautf8vctrsviridisLitewithrzoo
