Package: PCMBaseCpp 0.1.12

Venelin Mitov

PCMBaseCpp: Fast Likelihood Calculation for Phylogenetic Comparative Models

Provides a C++ backend for multivariate phylogenetic comparative models implemented in the R-package 'PCMBase'. Can be used in combination with 'PCMBase' to enable fast and parallel likelihood calculation. Implements the pruning likelihood calculation algorithm described in Mitov et al. (2020) <doi:10.1016/j.tpb.2019.11.005>. Uses the 'SPLITT' C++ library for parallel tree traversal described in Mitov and Stadler (2018) <doi:10.1111/2041-210X.13136>.

Authors:Venelin Mitov [aut, cre, cph]

PCMBaseCpp_0.1.12.tar.gz
PCMBaseCpp_0.1.12.tar.gz(r-4.7-arm64)PCMBaseCpp_0.1.12.tar.gz(r-4.7-x86_64)PCMBaseCpp_0.1.12.tar.gz(r-4.6-arm64)PCMBaseCpp_0.1.12.tar.gz(r-4.6-x86_64)
PCMBaseCpp_0.1.12.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
PCMBaseCpp/json (API)
NEWS

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

Bug tracker:https://github.com/venelin/pcmbasecpp/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • benchmarkData - Data for performing a benchmark
  • benchmarkResults - Results from running a performance benchmark on a personal computer including the time for parameter transformation
  • benchmarkResultsNoTransform - Results from running a performance benchmark on a personal computer excluding the time for parameter transformation

On CRAN:

Conda:

openblascpp

3.54 score 69 scripts 193 downloads 6 exports 30 dependencies

Last updated from:0a9a941dff. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK261
linux-devel-x86_64OK294
source / vignettesOK316
linux-release-arm64OK270
linux-release-x86_64OK252
wasm-releaseOK141

Exports:BenchmarkRvsCppMiniBenchmarkRvsCppPCMBaseCppIsADevReleasePCMInfoCppPCMParamGetFullVectorPCMTreePreorderCpp

Dependencies:abindapeclicpp11data.tabledigestexpmfarverggplot2gluegtableisobandlabelinglatticelifecycleMatrixmvtnormnlmePCMBaseR6RColorBrewerRcppRcppArmadillorlangS7scalesvctrsviridisLitewithrxtable

Getting started with the PCMBaseCpp R-package

Rendered fromPCMBaseCpp.Rmdusingknitr::rmarkdownon May 29 2026.

Last update: 2026-02-28
Started: 2019-11-21