First GitHub release (non-CRAN). Install: remotes::install_github("Data-Wise/probmed@v0.1.0") (pulls medfit@v0.3.0 via Remotes).

probmed 0.1.0 (2026-06-06)

First GitHub release (non-CRAN).

Features

pmed() computes P_med — a scale-free probabilistic effect size for causal
mediation — from a formula or a medfit::MediationData object, with plugin,
parametric-bootstrap, and nonparametric-bootstrap methods, alongside the
indirect effect (a * b).

pmed() now computes the mediation estimand
P(Y(x, M(x)) > Y(x, M(x*))) + 0.5 P(=) (manuscript Definition 1): treatment
held fixed, mediator varied between its treated and control levels with the
tie term. Previously it computed a direct-effect contrast that depended on the
direct effect c' and could land on the wrong side of 0.5. Verified against
the closed form Phi(ab / sqrt(2 (b^2 sigma_M^2 + sigma_Y^2))) and the
manuscript memory_exp example (P_med = 0.68).
Binary/non-Gaussian outcomes now draw Bernoulli responses through the link
(previously degenerate, returning 0/1), using the new medfit family slot.
Parametric bootstrap indexes coefficients by name (was selecting
intercepts as a/b); nonparametric bootstrap refits on the correct
family (was always Gaussian).

Builds on medfit (>= 0.3.0) for model extraction and the family/link slot.
Part of the mediationverse ecosystem.