📖 Solarik et al. (2019) DOI:[10.1111/1365-2745.13311](https://besjournals.onlinelibrary.wiley.com/doi/abs/10.1111/1365-2745.13311) - research compendium
This packages includes the code to reproduce the analysis we carried out in Solarik et al. (2019) DOI: 10.1111/1365-2745.13311. The form of a standard R 📦 is meant to ease the sharing of the code. Moreover this repository is an appropriate platform to discuss and fix potential code issues.
Note that in the analysis presented, we used a Rcpp implementation of dispersal kernel available as a separate R package diskers as well as two other packages that include a couple of handy functions and thus, these three packages are required. A convenient way of installing them, is to use of the
remotes package available on CRAN :
install.packages('remotes') remotes::install_github(c('KevCaz/diskers', 'inSileco/inSilecoMisc', 'inSileco/graphicsutils'))
Once installed, you can install this package:
Note that the data analysis pipeline is described in vignette “How to reproduce the analysis”.