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First CRAN release.
em_smooth(estimate, se, smoothing = 0.1): smoothed
EM estimate of the distribution of true effects. The smoothing uses one
constant SD, equal to smoothing times the median standard
error times a factor that grows slowly as the sample size
falls.
summary() computes the mean, SD, quantiles and
exceedance probabilities on demand (probs,
thresholds).
posterior_mean(), and print,
summary and plot methods.
normal_fit() fits the normal model for the true
effects.
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.