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.