tests/testthat/_snaps/weight-integration-categorical.md

In propensity: A Toolkit for Calculating and Working with Propensity Scores

weight functions work with trimmed categorical propensity scores

Code
  expr
Condition <propensity_no_refit_warning>
  Warning in `wt_ate()`:
  It appears you trimmed your propensity score but did not refit the model.
  i Use `ps_refit()` for more accurate re-estimation.

weight functions work with data.frame propensity scores for categorical

Code
  expr
Condition <propensity_no_refit_warning>
  Warning in `wt_ate()`:
  It appears you trimmed your propensity score but did not refit the model.
  i Use `ps_refit()` for more accurate re-estimation.

ATT weights work with categorical trimmed propensity scores

Code
  expr
Condition <propensity_no_refit_warning>
  Warning in `wt_att()`:
  It appears you trimmed your propensity score but did not refit the model.
  i Use `ps_refit()` for more accurate re-estimation.

propensity documentation built on March 3, 2026, 1:06 a.m.