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.