đź“– Solarik et al. (2019) DOI:[10.1111/1365-2745.13311](https://besjournals.onlinelibrary.wiley.com/doi/abs/10.1111/1365-2745.13311) - research compendium

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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.

Installation

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:

remotes::install_github('KevCaz/seedlingsRecruitment')

đź”— How to reproduce the analysis

Note that the data analysis pipeline is described in vignette “How to reproduce the analysis”.