Package: Rphylopars 0.3.10

Eric W. Goolsby

Rphylopars: Phylogenetic Comparative Tools for Missing Data and Within-Species Variation

Tools for performing phylogenetic comparative methods for datasets with with multiple observations per species (intraspecific variation or measurement error) and/or missing data (Goolsby et al. 2017). Performs ancestral state reconstruction and missing data imputation on the estimated evolutionary model, which can be specified as Brownian Motion, Ornstein-Uhlenbeck, Early-Burst, Pagel's lambda, kappa, or delta, or a star phylogeny.

Authors:Eric W. Goolsby [aut, cre], Jorn Bruggeman [aut], Cecile Ane [aut]

Rphylopars_0.3.10.tar.gz
Rphylopars_0.3.10.tar.gz(r-4.5-noble)Rphylopars_0.3.10.tar.gz(r-4.4-noble)
Rphylopars_0.3.10.tgz(r-4.4-emscripten)Rphylopars_0.3.10.tgz(r-4.3-emscripten)
Rphylopars.pdf |Rphylopars.html
Rphylopars/json (API)

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

Peer review:

Bug tracker:https://github.com/ericgoolsby/rphylopars/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

openblascpp

2.70 score 74 scripts 377 downloads 11 mentions 14 exports 73 dependencies

Last updated 12 months agofrom:83f849c8b4. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 14 2024
R-4.5-linux-x86_64OKDec 14 2024

Exports:anc.reconanova.phylopars.lmfast.SSClogLik.phyloparslogLik.phylopars.lmphyloparsphylopars.lmprint.phyloparsprint.phylopars.lmprint.SSCsimtraitssummary.phyloparssummary.phylopars.lmwrite.phylopars

Dependencies:apebackportsbootbroomcliclusterGenerationcodacodetoolscolorspacecombinatcowplotcpp11DEoptimDerivdigestdoBydoParalleldplyrexpmfansifarverfastmatchforeachfuturefuture.applygenericsggplot2globalsgluegtableigraphisobanditeratorslabelinglatticelifecyclelistenvmagrittrmapsMASSMatrixmgcvmicrobenchmarkmnormtmodelrmunsellnlmenumDerivoptimParallelparallellyphangornphylolmphytoolspillarpkgconfigpurrrquadprogR6RColorBrewerRcppRcppArmadillorlangscalesscatterplot3dstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr