funresMech: Mechanistic Functional Response Analysis

Implements the mechanistic functional response model proposed by Okuyama (2012) <doi:10.1016/j.biocontrol.2011.10.008> for host-parasitoid systems. Provides tools for model fitting, likelihood profiling, stochastic simulation, and visualization of parasitism distributions. The stochastic simulation engine is implemented in C++ via 'Rcpp'. Includes an interactive 'shiny' application for complete analysis workflows, built with 'plotly' for interactive graphics and 'rmarkdown' for reproducible reports.

Version: 1.1.0
Depends: R (≥ 4.1.0)
Imports: DEoptim, dplyr, future, ggplot2 (≥ 3.4.0), magrittr, parallel, plotly, Rcpp, rlang, rmarkdown, shiny, shinyBS, shinythemes, stats, utils
LinkingTo: Rcpp
Suggests: kableExtra, knitr, testthat (≥ 3.0.0)
Published: 2026-10-06
DOI: 10.32614/CRAN.package.funresMech
Author: Segundo Núñez-Campero [aut, cre]
Maintainer: Segundo Núñez-Campero <segundo.nc at conicet.gov.ar>
BugReports: https://github.com/Segon03/funresMech/issues
License: MIT + file LICENSE
URL: https://github.com/Segon03/funresMech
NeedsCompilation: yes
Materials: README, NEWS
CRAN checks: funresMech results

Documentation:

Reference manual: funresMech.html , funresMech.pdf

Downloads:

Package source: funresMech_1.1.0.tar.gz
Windows binaries: r-devel: funresMech_1.0.4.zip, r-release: funresMech_1.0.4.zip, r-oldrel: funresMech_1.1.0.zip
macOS binaries: r-release (arm64): funresMech_1.1.0.tgz, r-oldrel (arm64): funresMech_1.1.0.tgz, r-release (x86_64): funresMech_1.1.0.tgz, r-oldrel (x86_64): funresMech_1.1.0.tgz
Old sources: funresMech archive

Linking:

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