ps_trunc-categorical.md
In propensity: A Toolkit for Calculating and Working with Propensity Scores

ps_trunc validates delta < 1/k

Code
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Condition <propensity_range_error>
  Error in `ps_trunc()`:
  ! Invalid truncation threshold (delta >= 1/k).

ps_trunc errors for unsupported methods with categorical

Code
  expr
Condition <rlang_error>
  Error in `ps_trunc()`:
  ! `method` must be one of "ps" or "pctl", not "cr".

ps_trunc requires exposure for categorical

Code
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Condition <propensity_missing_arg_error>
  Error in `ps_trunc()`:
  ! `.exposure` must be provided for categorical propensity score truncation.

ps_trunc warns when no column names provided

Code
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Condition <propensity_matrix_no_names_warning>
  Warning:
  Propensity score matrix has no column names.
  i Assuming columns are in factor level order: "A", "B", and "C"
  i This may lead to incorrect results if columns are misaligned.

ps_trunc.ps_trunc warns about already truncated scores

Code
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Condition <propensity_already_modified_warning>
  Warning in `ps_trunc()`:
  Propensity scores have already been truncated. Returning original object.