-
Poisson sampling for density-independent
- returns growth is Poisson(f(N(t)) where it was previously N(t+1) = f(N(t))
- pass parameter
poisson = TRUE(a logical) - tests of mean/variance agreement with
rpoisover one generation
-
Enable density-dependence
- Gompertz, theta-logistic, ceiling growth
- specify through argument
densitywith values "ceiling", "gompertz", "thetalogistic", or "independent" (density-independent) - all require argument
K0, which defaults to 10,000, but theta-logistic also requires parameterthetalog
-
Add simulation runners, with functions:
- run_sims_on_grid: runs things, and is given a summarizer
- summary_id: an 'identity' summarizer; does nothing
- simulate_timeseries: a wrapper for simulate_pheno_ts that computes a few things and passes them simulate_pheno_ts. notably, it decides whether to use stationary initial conditions. if these are needed, they are generated separately, in R, and used to initialize the (c++) simulate_pheno_ts