weights_odds: Estimates odds weights for the Ypred estimator

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

Estimates odds weights for the Ypred estimator

Description

Estimates odds weights for the Ypred estimator

Usage

weights_odds(
  data,
  s.wt.var = NULL,
  cross.world = "10",
  a.form,
  max.stabilized.wt = 30,
  plot = TRUE,
  vars.order = NULL,
  vars.std = NULL
)

Arguments

data	A data frame.
s.wt.var	Optional, name of variable containing sampling weights.
cross.world	The cross-world condition involved in the effect decomposition of choice. Should be "10" if want the (NDE0, NIE1) pair, "01" if want the (NIE0, NDE1) pair, or "both" if want both decompositions.
a.form	Formula for model of treatment given the variables that need to be balanced.
max.stabilized.wt	Max stabilized weight allowed. Larger weights are truncated to this level. Default is 30.
plot	Whether to output weight distribution and balance plots. Defaults to TRUE.
vars.order	Order in which variables are to appear in the balance plot. If not specify, use the order that appears in a.form.
vars.std	Variables whose mean differences are to be standardized in balance plot. Ignore if plot==FALSE.

Value

w.dat	A data frame for the pseudo and actual subsamples (pseudo ones with estimated distribution-morphing odds weights)
wt.dist.plot	If plot==TRUE, a density plot of the distribution-morphing weights, and (if sampling weights vary) a density plot of the final weights
balance.plot	If plot==TRUE, a plot of the balance in covariates and mediators of the pseudo subsample(s).

See Also

Other weighting schemes: weights_ipw(), weights_med()

trangnguyen74/tnMediation documentation built on May 3, 2023, 6:58 a.m.