Package: bmsma 0.0.0.9000

Daniel Falster

bmsma: Bayesian Multilevel fits of Standardise Major Axis lines to bivariate data

Allows fitting of Standardise Major Axis lines to bivariate data via MCMC with random effects.

Authors:Daniel Falster [aut, cre, cph], Tess O'Brien [ctb], Fonti Kar [ctb], David Warton [ctb]

bmsma_0.0.0.9000.tar.gz
bmsma_0.0.0.9000.zip(r-4.7)bmsma_0.0.0.9000.zip(r-4.6)bmsma_0.0.0.9000.zip(r-4.5)
bmsma_0.0.0.9000.tgz(r-4.6-x86_64)bmsma_0.0.0.9000.tgz(r-4.6-arm64)bmsma_0.0.0.9000.tgz(r-4.5-x86_64)bmsma_0.0.0.9000.tgz(r-4.5-arm64)
bmsma_0.0.0.9000.tar.gz(r-4.7-arm64)bmsma_0.0.0.9000.tar.gz(r-4.7-x86_64)bmsma_0.0.0.9000.tar.gz(r-4.6-arm64)bmsma_0.0.0.9000.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html✨
card.svg |card.png
bmsma/json (API)

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

Bug tracker:https://github.com/traitecoevo/bmsma/issues

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

On CRAN:

Conda:

cpp

3.18 score 3 stars 3 scripts 3 exports 48 dependencies

Last updated from:02330617a0. Checks:12 OK, 1 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK385
linux-devel-x86_64OK356
source / vignettesOK439
linux-release-arm64OK388
linux-release-x86_64OK361
macos-release-arm64OK244
macos-release-x86_64OK621
macos-oldrel-arm64OK316
macos-oldrel-x86_64OK601
windows-develOK443
windows-releaseOK422
windows-oldrelOK400
wasm-releaseFAIL155

Exports:bmsma_assign_databmsma_modelbmsma_run

Dependencies:abindbackportsBHcallrcheckmateclicpp11descdistributionalfarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglifecycleloomagrittrmatrixStatsnumDerivpillarpkgbuildpkgconfigposteriorprocessxpspurrrQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanrstantoolsS7scalesStanHeaderstensorAtibbleutf8vctrsviridisLitewithr

bmsma

Rendered frombmsma.Rmdusingknitr::rmarkdownon May 12 2026.

Last update: 2024-12-16
Started: 2023-10-30