The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

Simulation studies

library(logcumulant)

The package includes utilities to reproduce the size and power studies. They are Monte Carlo intensive; the examples below use small replication counts for speed.

Empirical size

Under a true null, a well-calibrated test rejects at approximately the nominal level. The asymptotic reference over-rejects, while the bootstrap restores size.

size_study(sample_sizes = c(30, 50, 100, 200), Nsim = 1000)

Empirical power

Power against a set of alternatives, with optional size-correction for a fair comparison:

power_study(n = 100, Nsim = 1000)

Reproducing the figures

The complete set of diagrams in the accompanying paper can be regenerated with the bundled script:

# from the package source directory
source("reproduce_all_figures.R")

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.