simER {ESTER} R Documentation

## Simulates sequential testing with evidence ratios

### Description

Simulates one or many sequential testing with evidence ratios from independent two-groups comparisons, as a function of sample size and standardized mean difference. Evidence ratios are computed from the so-called Akaike weights from either the Akaike Information Criterion or the Bayesian Information Criterion.

### Usage

simER(cohensd = 0, nmin = 20, nmax = 100, boundary = 10, nsims = 20,
ic = bic, cores = 2, verbose = FALSE)


### Arguments

 cohensd Expected effect size nmin Minimum sample size from which start computing ERs nmax Maximum sample size at which stop computing ERs boundary The Evidence Ratio (or its reciprocal) at which the run is stopped as well nsims Number of simulated samples (should be dividable by cores) ic Indicates whether to use the aic or the bic cores Number of parallel processes. If cores is set to 1, no parallel framework is used (default is two cores). verbose Show output about progress

### Value

An object of class data.frame, which contains...

### Author(s)

ictab, analysER

### Examples

## Not run:
sim <- simER(cohensd = 0.8, nmin = 20, nmax = 100, boundary = 10,
nsims = 100, ic = bic, cores = 2, verbose = TRUE)
plot(sim, log = TRUE, hist = TRUE)

## End(Not run)



[Package ESTER version 0.2.0 Index]