dot-plot_w.dat: (For maintainer) Plot weight distributions and mean balance

In trangnguyen74/mediationClarity: Simple and more robust estimation of marginal natural (in)direct effects

(For maintainer) Plot weight distributions and mean balance

Description

(For maintainer) Plot weight distributions and mean balance

Usage

.plot_med(w.dat, c.vars, m.vars, c.std, m.std, key.balance = FALSE)

.plot_ipw(w.dat, vars, vars.std, key.balance = FALSE)

.plot_odds(w.dat, vars, vars.std, estimate.Ypred = FALSE)

.plot_psYpred(w.dat, c.vars, c.std)

.plot_psYpredMR(w.dat, cross.world, c.vars, m.vars, c.std, m.std)

.plot_YpredMR(w.dat, cross.world, c.vars, m.vars, c.std, m.std)

.plot_wpMRCadj(w.dat, c.vars, m.vars, c.std, m.std)

Arguments

w.dat	Weighted data
c.vars	Names of covariates, already cleaned.
m.vars	Names of mediators, already cleaned.
c.std	Names of covariates whose mean differences are to be standardized, already cleaned.
m.std	Names of mediators whose mean differences are to be standardized, already cleaned.
key.balance	Whether all balance components are crucial to the estimator using the weighting method, defaults to FALSE. See relevance in Value section.
vars	Names of covariates and mediators.
vars.std	Names of covariates and mediators for which to use standardized mean differences in balance plots.
cross.world	blah

trangnguyen74/mediationClarity documentation built on May 4, 2023, 6:22 a.m.