global_sensitivity: Run global sensitivity analysis

In Sz-Tim/gbPopMod: Mechanistic species distribution model for glossy buckthorn (*Frangula alnus*)

Description

Generate and run simulations over a set of varying parameters. It runs in parallel using the snow and foreach packages.

Usage

global_sensitivity(par.ls, nSamp, ngrid, ncell, g.p, lc.df, sdd = NULL,
  cell.init, control.p = NULL, save_yrs = NULL, verbose = FALSE,
  sim.dir = "out/")

Arguments

par.ls	List output from set_par_ranges with parameter to perform the sensitivity analysis on
nSamp	10 Number of randomly generated parameter sets
ngrid	Number of grid cells in entire map
ncell	Number of inbound grid cells
g.p	Named list of global parameters set with set_g_p. The value of parameter p will be updated within the loop for each value in p.seq.
lc.df	Dataframe or tibble with xy coords, land cover proportions, and cell id info
sdd	NULL Output with short distance dispersal neighborhoods created by sdd_set_probs. If NULL, sdd neighborhoods are calculated
cell.init	Vector with grid id of cells populated at t=0
control.p	NULL or named list of buckthorn control treatment parameters set with set_control_p
save_yrs	NULL Years to store full abundances for. If NULL, only grid-wide summaries are stored. Else, the total adult per-cell N is stored for the specified years.
verbose	FALSE Give updates?
sim.dir	"out/sims/" Directory to store simulation output

Value

list with elements out containing the full output from run_sim, and results containing the parameter sets and simulation summaries

Sz-Tim/gbPopMod documentation built on Dec. 7, 2020, 1:07 p.m.