dot-compute_weights: (For maintainer) Compute weights

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

(For maintainer) Compute weights

Description

Internal functions that compute weights using cleaned inputs.

Usage

.compute_weights.med(data, cross.world, a.c.form, a.cm.form, max.stabilized.wt)

.compute_weights.ipw(data, a.form, max.stabilized.wt)

.compute_weights.odds(data, cross.world, a.form, max.stabilized.wt)

.compute_weights.psYpred(data, cross.world, a.c.form, max.stabilized.wt)

Arguments

data	Prepared internal dataset (e.g., result of .pred_data()).
cross.world	Cleaned cross.world (e.g., from .clean_cross.world()).
a.c.form, a.cm.form	Cleaned formulas (e.g., from .clean_a.forms()).
max.stabilized.wt	A scalar.

Value

A data frame for the pseudo samples with estimated weights, in stacked format.

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