Implements fits of diversification and phenotypic evolution models to phylogenetic data. See Morlon et al. PLoSB (2010), Morlon et al. PNAS (2011), Condamine et al. Eco Lett (2013), Morlon et al. Eco Lett (2014), Manceau et al. Eco Lett (2015), Lewitus & Morlon Syst Biol (2016), Drury et al. Syst Biol (2016), Manceau et al. Syst Biol (2016), Clavel & Morlon PNAS (2017), Drury et al. Syst Biol (2017), Lewitus & Morlon Syst Biol (2017), Drury et al. PLoSB (2018), Clavel et al. Syst Biol (2019), Maliet et al. Nature Ecol Evol (2019), Condamine et al. Eco Lett (2019), Aristide & Morlon Eco Lett (2019), Billaud et al. Syst Biol (2019), Lewitus & Morlon Syst Biol (2019), Maliet et al. Eco Lett (2020), Drury et al. PloS B (2021), Perez-Lamarque & Morlon Mol Ecol (2022), Perez-Lamarque et al. Peer Comm J (2022), Mazet et al. Methods Ecol Evol (2023), Drury et al. Current Bio (2024).
More information on the RPANDA package and worked examples can be found in Morlon et al. (2016)
The current stable version of the RPANDA package (2.2) is available on the CRAN repository. https://cran.r-project.org/package=RPANDA
From gitHub You can install RPANDA directly from gitHub with devtools:
library(devtools)
install_github("hmorlon/PANDA", dependencies = TRUE)
From the binaries
You can download the pre-released binaries for Windows and Mac OS X from the release page
From the source
Otherwise, you can install it directly from the source. Download the RPANDA folder and then, from the terminal console (linux, windows or mac):
R CMD build RPANDA
This will produce the RPANDA tarball.
Then, for compiling the binary:
R CMD INSTALL --build RPANDA_2.X.tar.gz
Any bugs encountered when using the package can be reported here