This function wraps around the `run_meta_permutations` function to run meta-analyses once (no permutations) for a quick evaluation.
Usage
run_meta(
rv,
set_target = c("hr", "ctsd"),
subpop = FALSE,
trace = FALSE,
.iter_step = 2,
.only_max_m = FALSE,
.lists = NULL
)Arguments
- rv
A list containing outputs, settings and data objects. Must not be NULL.
- set_target
Character. Research target: `"hr"` for home range or `"ctsd"` for speed & distance.
- subpop
Logical. If TRUE, will run meta-analyses with groups. Default is FALSE.
- trace
Logical. If TRUE, prints progress messages. Default is FALSE.
- .iter_step
Numeric. The size of each iteration step. Default is 2.
- .only_max_m
Logical. If TRUE, will only run the maximum number of individuals. Default is FALSE.
- .lists
A list containing already created meta inputs. Default is NULL.