adaptDiag 0.1.1
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.- Fixed an error in
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).
adaptDiag 0.1.0
- First package release to CRAN.