Plot demographic history encoded in a slendr model
Arguments
- model
Compiled
slendr_model
model object- sizes
Should population size changes be visualized?
- proportions
Should gene flow proportions be visualized (
FALSE
by default to prevent cluttering and overplotting)- log
Should the y-axis be plotted on a log scale? Useful for models over very long time-scales.
Examples
check_dependencies(python = TRUE) # make sure dependencies are present
init_env()
#> The interface to all required Python modules has been activated.
# load an example model with an already simulated tree sequence
path <- system.file("extdata/models/introgression", package = "slendr")
model <- read_model(path)
plot_model(model, sizes = FALSE, log = TRUE)