run_meta: Running hierarchical models

View source: R/fct_meta.R

run_metaR Documentation

Running hierarchical models

Description

This function wraps around the run_meta_resampled function to run hierarchical models (with no resamples) for a quick evaluation.

Usage

run_meta(
  rv,
  set_target = c("hr", "ctsd"),
  subpop = FALSE,
  trace = FALSE,
  iter_step = 2,
  .automate_seq = FALSE,
  .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.

.automate_seq

Logical. If TRUE, overwrites sequence automatically to improve plot readability. Default is FALSE.

.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.

Value

The outputs of the run_meta_resampled function for a single combination.


movedesign documentation built on June 24, 2025, 9:07 a.m.