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.
binom_sample_size(): fixed the normal approximation
used to initialise the sample size search. The previous formula used
only \(p_1\) in the variance term; the
correct Chow et al. (2017) formula uses \(z_\alpha\sqrt{p_0(1-p_0)} +
z_\beta\sqrt{p_1(1-p_1)}\). The exact discrete search result is
unchanged, but the approximation now matches the cited reference.multi_trial(): improved documentation for
prior_sens, prior_spec, and
prior_prev to explain that c(0.1, 0.1) is a
bimodal near-Jeffreys prior that places most mass near 0 and 1, and that
c(1, 1) (uniform) or an informative prior from pilot data
may be more appropriate.multi_trial(): added a seed argument for
reproducible simulations (#5). Reproducibility is implemented via
doRNG::%dorng%, which correctly handles RNG stream
splitting across all parallel backends.multi_trial() now uses a single foreach +
doRNG::%dorng% dispatch path for all platforms, replacing
the previous platform-specific branches
(pbmcapply::pbmclapply on Unix,
foreach::%dopar% on Windows). This fixes a latent Windows
bug and simplifies the implementation. pbmcapply has been
removed as a dependency and doRNG added.multi_trial() that occurred at early
interim looks with low prevalence, when zero observations fell into a
cell of the 2×2 contingency table (#5).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.