Package: fibre 0.0.0.9000

fibre: Fast Evolutionary Trait Modelling on Phylogenies using Branch Regression Models
Implements Phylogenetic Branch Regression models which allow for flexible and versatile models of evolution along a phylogeny. The model can be used to detect shifts in rates of evolution along branches. The model uses a continuous and linear model structure and so can be easily combined with other non-phylogenetic statistical structures, as long as they are implemented using the R package INLA. One major uses of this are to condition on phylogeny in a standard regression between two traits, thus 'accounting' for phylogenetic structure in the response variable, similar to how pgls is used but allowing for a more flexible phylogenetic model. This also allows the phylogenetic model to be combined with the spatial models that INLA excels at (and with comparable flexibility to those spatial models).
Authors:
fibre_0.0.0.9000.tar.gz
fibre_0.0.0.9000.zip(r-4.7)fibre_0.0.0.9000.zip(r-4.6)fibre_0.0.0.9000.zip(r-4.5)
fibre_0.0.0.9000.tgz(r-4.6-any)fibre_0.0.0.9000.tgz(r-4.5-any)
fibre_0.0.0.9000.tar.gz(r-4.7-any)fibre_0.0.0.9000.tar.gz(r-4.6-any)
fibre_0.0.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
fibre/json (API)
| # Install 'fibre' in R: |
| install.packages('fibre', repos = c('https://rdinnager.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/rdinnager/fibre/issues
Pkgdown/docs site:https://rdinnager.github.io
Last updated from:069e04c036. Checks:5 WARNING, 1 ERROR, 2 FAIL, 1 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | WARNING | 235 | ||
| source / vignettes | ERROR | 363 | ||
| linux-release-x86_64 | FAIL | 1458 | ||
| macos-release-arm64 | WARNING | 288 | ||
| macos-oldrel-arm64 | WARNING | 223 | ||
| windows-devel | WARNING | 159 | ||
| windows-release | WARNING | 146 | ||
| windows-oldrel | FAIL | 41 | ||
| wasm-release | OK | 197 |
Exports::=.data%>%as_labelas_nameaugmentautoplotbrebre_brownianbre_second_orderdefault_cameradefault_lightenquoenquosevo_autodecoderfibrefibre_formula_blueprintget_acesget_camera_positionget_ratesget_tcesget_tipsglanceload_bird_beak_modelload_modelresdf_netsimulate_traitstidy
Dependencies:apeaplotassertthatbase64encbitbit64bslibcachemcallrclassclassIntcliclusterGenerationcodacodetoolscombinatcorocorpcorcpp11cubatureDBIDEoptimdescdigestdoParalleldplyre1071evaluateexpmfarverfastmapfastmatchfmesherfontawesomefontBitstreamVerafontLiberationfontquiverforeachfsgdtoolsgenericsggfunggiraphggplot2ggplotifyggtreeglmnetgluegridGraphicsgtablehardhathighrhtmltoolshtmlwidgetsigraphinlabruisobanditeratorsivsjquerylibjsonliteKernSmoothknitrlabelinglatticelazyevallifecyclemagrittrmapsMASSMatrixMatrixModelsMCMCglmmmemoisemimemnormtnlmenumDerivoptimParallelotelpatchworkphangornphyfphytoolspillarpkgconfigplyrprocessxproxypspurrrquadprogR6rappdirsRColorBrewerRcppRcppEigenreprrlangrmarkdowns2S7safetensorssassscalesscatterplot3dsfshapeskimrspsparsevctrssplancsstringistringrsurvivalsystemfontstensorAtibbletidyrtidyselecttidytreetinytextorchtreeiounitsutf8vctrsviridisLitewithrwkxfunyamlyulab.utilszeallot
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Specify a branch length (random) effect | bre |
| Specify a branch length (random) effect for a Brownian motion model | bre_brownian |
| Specify a branch length (random) effect for a 'Second Order' Brownian motion model | bre_second_order |
| Create a Evolutionary Autodecoder Model | evo_autodecoder |
| Fit a 'fibre' | fibre fibre.data.frame fibre.default fibre.formula fibre.matrix fibre.recipe |
| Title | get_aces |
| Title | get_rates |
| Title | get_tces |
| Title | get_tips |
| Load a model | load_model |
| Predict from a 'fibre' | predict.fibre |
| Specify a random effect | re |
| A signed distance field based neural network model for generating 3d shapes | sdf_net |
| Function to simulate continuous trait value histories on a phylogeny. | simulate_traits |
| Tidy Model Results | tidy.fibre |
