Imports: matrixcalc, shiny, shinythemes, ggthemes, shinyBS, shinyjs,

Depends: R (>= 3.4), shinyFiles, ggplot2, ggthemes

Depends: R (>= 3.5), shinyFiles, ggplot2, ggthemes
Imports: R.utils, mmap, matrixcalc, shiny, shinythemes, shinyBS,
shinyjs, stats, utils, parallel, data.table

Depends: R (>= 3.6), shinyFiles, ggplot2, ggthemes

Depends: R (>= 3.5), shinyFiles, shinyBS, ggplot2, ggthemes
Imports: R.utils, mmap, matrixcalc, shiny, shinythemes, shinyjs, stats,

Depends: R (>= 3.6), shinyFiles, shinyBS, ggplot2, ggthemes

Depends: R (>= 3.6), shinyFiles, shinyBS, ggplot2, ggthemes, plotly

person("Andrew", "George", role=c("aut", "cre"), email="geo047@gmail.com"),
Depends: R (>= 4.0), shinyFiles, shinyBS, ggplot2, ggthemes, plotly
Imports: R.utils, mmap, shiny, shinythemes, shinyjs, stats, utils,

Imports: R.utils, mmap, shiny, shinythemes, shinyjs, fontawesome,

Title: Simulating Explicit Population Genetics Models
Author: Ehouarn Le Faou <ehouarnlefaou@orange.fr> [aut, cre]
Maintainer: Ehouarn Le Faou <ehouarnlefaou@orange.fr>
Description: Implementation in a simple and efficient way of fully customisable population genetics simulations,
considering multiple loci that have epistatic interactions. Specifically suited to the modelling of
multilocus nucleocytoplasmic systems (with both diploid and haploid loci), it is nevertheless possible
to simulate purely diploid (or purely haploid) genetic models.
Examples of models that can be simulated with Ease are numerous, for example models of genetic
incompatibilities as presented by Marie-Orleach et al. (2022) <doi:10.1101/2022.07.25.501356>.
Many others are conceivable, although few are actually explored, Ease having been developed
in particular to provide a solution so that these kinds of models can be simulated simply.
Imports: methods, Rcpp (>= 1.0.7), ggplot2, ggpubr, RcppProgress (>=
Collate: RcppExports.R ToolFunctions.R ModelFunctions.R GenomeClass.R

Imports: methods, Rcpp (>= 1.0.7), RcppProgress (>= 0.1), stats

Title: EasyABC: performing efficient approximate Bayesian computation
Author: Franck Jabot, Thierry Faure, Nicolas Dumoullin
Depends: R (>= 2.14.0), lhs, pls, mnormt, MASS, parallel
Description: The package EasyABC enables to launch a series of
simulations of a computer code from the R platform, and to
retrieve the simulation outputs in an appropriate format for
post-processing treatments. Four sequential sampling schemes
and three coupled-to-MCMC schemes are implemented.