Changes in version 0.1.0 (2026-10-27)                  

  - 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.