tests/testthat/_snaps/ps_calibration.md

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

errors for non-numeric ps

Code
  expr
Condition <propensity_type_error>
  Error in `ps_calibrate()`:
  ! `ps` must be a numeric vector.

errors for out-of-range ps

Code
  expr
Condition <propensity_range_error>
  Error in `ps_calibrate()`:
  ! `ps` values must be between 0 and 1.

Code
  expr
Condition <propensity_range_error>
  Error in `ps_calibrate()`:
  ! `ps` values must be between 0 and 1.

errors when ps and .exposure have different lengths

Code
  expr
Condition <propensity_length_error>
  Error in `ps_calibrate()`:
  ! Propensity score vector `ps` must be the same length as `.exposure`.

error handling for ambiguous treatment coding

Code
  expr
Condition <propensity_binary_transform_error>
  Error in `ps_calibrate()`:
  ! Don't know how to transform `.exposure` to 0/1 binary variable.
  i Specify `.focal_level` and `.reference_level`.

errors when trying to calibrate already calibrated ps

Code
  expr
Condition <propensity_already_calibrated_error>
  Error in `ps_calibrate()`:
  ! `ps` is already calibrated. Cannot calibrate already calibrated propensity scores.

method parameter validation works

Code
  expr
Condition <rlang_error>
  Error in `ps_calibrate()`:
  ! `method` must be one of "logistic" or "isoreg", not "invalid".

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