metasims: metasims
In softloud/metasim: Simulate Meta-Analytic Data

metasims(single_study = FALSE, measure = "median",
  measure_spread = "iqr", distributions = default_parameters,
  k = c(3, 7, 10), tau_sq_true = seq(from = 0, to = 0.4, by = 0.2),
  unequal_effect_ratio = 1.2, min_n = 20, max_n = 200, prop = 0.5,
  prop_error = 0.1, trials = 3, trial_fn = metatrial, beep = FALSE,
  knha = TRUE, progress = TRUE)

`single_study`	Set this to TRUE for a simulation of single samples; i.e., one control and one intervention group.
`measure`	Calculate sample median or mean. Defaults to median.
`measure_spread`	Specify "iqr", "range", "sd", "var". Will have to check how many of these are done right now.
`distributions`	a dataframe with a `dist` column of R distributions, i.e., norm, exp, pareto, and a list-column `par` of parameter sets. Defaults to default_parmetres
`k`	Vector of desired numbers studies to simulate for.
`tau_sq_true`	Variance γ_k \sim N(0, τ^2) associated with the random effect
`unequal_effect_ratio`	ν_I / ν_C := ρ where ρ = 1 and whatever arguments passed to this. Defaults to 1.2, so that the cases ρ = 1, 1.2 are considered.
`min_n`	lower bound for sample sizes, defaults to 20
`max_n`	upper bound for sample sizes, defaults to 200
`prop`	proportion of n we expect
`prop_error`	what do we expect 90 \item beepTurn on beep alert when successfully finished. \item progressTurn progress bar on and off. \item single_studyWhen set to TRUE, will override simulation parameters with k = 1 and tau_sq_true = 0. \item kSimulate for different numbers of studies.