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blvim: Boltzmann–Lotka–Volterra Interaction Model

Estimates Boltzmann–Lotka–Volterra (BLV) interaction model efficiently. Enables programmatic and graphical exploration of the solution space of BLV models when parameters are varied. See Wilson, A. (2008) <dx.doi.org/10.1098/rsif.2007.1288>.

Version: 0.1.1
Depends: R (≥ 3.5)
Imports: cli, collapse, Rcpp, rlang, stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: callr, covr, dplyr, ggplot2, ggrepel, knitr, pkgload, rmarkdown, sf, sloop, testthat (≥ 3.0.0), vctrs, vdiffr, withr
Published: 2026-01-14
DOI: 10.32614/CRAN.package.blvim (may not be active yet)
Author: Fabrice Rossi ORCID iD [aut, cre, cph]
Maintainer: Fabrice Rossi <Fabrice.Rossi at apiacoa.org>
BugReports: https://github.com/fabrice-rossi/blvim/issues
License: GPL (≥ 3)
URL: https://fabrice-rossi.github.io/blvim/ https://fabrice-rossi.r-universe.dev/blvim
NeedsCompilation: yes
Materials: README, NEWS
CRAN checks: blvim results

Documentation:

Reference manual: blvim.html , blvim.pdf
Vignettes: Systematic exploration of the BLV solution space (source, R code)
Theoretical Background (source, R code)

Downloads:

Package source: blvim_0.1.1.tar.gz
Windows binaries: r-devel: not available, r-release: blvim_0.1.1.zip, r-oldrel: not available
macOS binaries: r-release (arm64): blvim_0.1.1.tgz, r-oldrel (arm64): blvim_0.1.1.tgz, r-release (x86_64): blvim_0.1.1.tgz, r-oldrel (x86_64): blvim_0.1.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=blvim to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.