Description Usage Arguments Value
View source: R/methods-for-batch-distribution.R
Sets up a computer experiment evaluating the performance of different inference methods in the random effects meta regression model.
1 2 | setupExperiment(name, seed, n, resolution, bounds, x, b,
sgnf, piv_draws, ...)
|
name |
Reference name for the experiment. |
seed |
Random seed for the experiment. |
n |
number of simulations to at each parameter configuration. |
resolution |
list of number of parameter configurations in each design, e.g. resolution=list(h=5L, d=3L) |
bounds |
list of parameter bounds used for experimental design, e.g. bounds=list(h=c(0,1), d=c(0.001, 2), s=c(200L, 2000L)) where - h : bounds of the heterogeneity. - d : bounds of the heteroscedasticity. - a : bounds of the balancing factor of group assignments. - s : bounds of the study sizes. - r : fixed risk in the control. |
x |
design matrix. |
b |
regression coefficients. |
sgnf |
levels of significance. |
piv_draws |
number of pivotal draws. |
... |
further arguments to makeExperimentRegistry, e.g. file.dir=tempfile(). |
The registry.
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