Goal of package | Installation | {bmsma} supported models | Linear model
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:
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✨
DESCRIPTION
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
Last updated from:02330617a0. Checks:12 OK, 1 FAIL. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 340 | ||
| linux-devel-x86_64 | OK | 370 | ||
| source / vignettes | OK | 451 | ||
| linux-release-arm64 | OK | 318 | ||
| linux-release-x86_64 | OK | 344 | ||
| macos-release-arm64 | OK | 278 | ||
| macos-release-x86_64 | OK | 473 | ||
| macos-oldrel-arm64 | OK | 286 | ||
| macos-oldrel-x86_64 | OK | 468 | ||
| windows-devel | OK | 478 | ||
| windows-release | OK | 395 | ||
| windows-oldrel | OK | 333 | ||
| wasm-release | FAIL | 157 |
Exports:bmsma_assign_databmsma_modelbmsma_run
Dependencies:abindbackportsBHcallrcheckmateclicpp11descdistributionalfarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglifecycleloomagrittrmatrixStatsnumDerivotelpillarpkgbuildpkgconfigposteriorprocessxpspurrrQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanrstantoolsS7scalesStanHeaderstensorAtibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Assign data to template | bmsma_assign_data |
| Select data configuration template for bmsma supported model | bmsma_model |
| Run a linear model in Stan | bmsma_run |
