tests/testthat/_snaps/cal-estimate-linear.md

In topepo/probably: Tools for Post-Processing Predicted Values

Linear estimates work - data.frame

Code
  print(sl_linear)
Message

  -- Regression Calibration 
  Method: Linear calibration
  Source class: Data Frame
  Data points: 2,000
  Truth variable: `outcome`
  Estimate variable: `.pred`

Code
  print(sl_linear_group)
Message

  -- Regression Calibration 
  Method: Linear calibration
  Source class: Data Frame
  Data points: 2,000, split in 2 groups
  Truth variable: `outcome`
  Estimate variable: `.pred`

x `.by` cannot select more than one column.
i The following columns were selected:
i group1 and group2

Linear estimates work - tune_results

Code
  print(tl_linear)
Message

  -- Regression Calibration 
  Method: Linear calibration
  Source class: Tune Results
  Data points: 750, split in 10 groups
  Truth variable: `outcome`
  Estimate variable: `.pred`

Linear estimates errors - grouped_df

x This function does not work with grouped data frames.
i Apply `dplyr::ungroup()` and use the `.by` argument.

Linear spline estimates work - data.frame

Code
  print(sl_gam)
Message

  -- Regression Calibration 
  Method: Generalized additive model calibration
  Source class: Data Frame
  Data points: 2,000
  Truth variable: `outcome`
  Estimate variable: `.pred`

Code
  print(sl_gam_group)
Message

  -- Regression Calibration 
  Method: Generalized additive model calibration
  Source class: Data Frame
  Data points: 2,000, split in 2 groups
  Truth variable: `outcome`
  Estimate variable: `.pred`

x `.by` cannot select more than one column.
i The following columns were selected:
i group1 and group2

Linear spline estimates work - tune_results

Code
  print(tl_gam)
Message

  -- Regression Calibration 
  Method: Generalized additive model calibration
  Source class: Tune Results
  Data points: 750, split in 10 groups
  Truth variable: `outcome`
  Estimate variable: `.pred`

Linear spline switches to linear if too few unique

Code
  sl_gam <- cal_estimate_linear(boosting_predictions_oob, outcome, smooth = TRUE)
Condition
  Warning:
  Too few unique observations for spline-based calibrator. Setting `smooth = FALSE`.

Code
  sl_gam <- cal_estimate_linear(boosting_predictions_oob, outcome, .by = id,
    smooth = TRUE)
Condition
  Warning:
  Too few unique observations for spline-based calibrator. Setting `smooth = FALSE`.
  Warning:
  Too few unique observations for spline-based calibrator. Setting `smooth = FALSE`.
  Warning:
  Too few unique observations for spline-based calibrator. Setting `smooth = FALSE`.
  Warning:
  Too few unique observations for spline-based calibrator. Setting `smooth = FALSE`.
  Warning:
  Too few unique observations for spline-based calibrator. Setting `smooth = FALSE`.
  Warning:
  Too few unique observations for spline-based calibrator. Setting `smooth = FALSE`.
  Warning:
  Too few unique observations for spline-based calibrator. Setting `smooth = FALSE`.
  Warning:
  Too few unique observations for spline-based calibrator. Setting `smooth = FALSE`.
  Warning:
  Too few unique observations for spline-based calibrator. Setting `smooth = FALSE`.
  Warning:
  Too few unique observations for spline-based calibrator. Setting `smooth = FALSE`.

Code
  sl_gam <- cal_estimate_linear(boosting_predictions_oob, outcome, smooth = TRUE)
Condition
  Warning:
  Too few unique observations for spline-based calibrator. Setting `smooth = FALSE`.

Code
  sl_gam <- cal_estimate_linear(boosting_predictions_oob, outcome, .by = id,
    smooth = TRUE)
Condition
  Warning:
  Too few unique observations for spline-based calibrator. Setting `smooth = FALSE`.
  Warning:
  Too few unique observations for spline-based calibrator. Setting `smooth = FALSE`.
  Warning:
  Too few unique observations for spline-based calibrator. Setting `smooth = FALSE`.
  Warning:
  Too few unique observations for spline-based calibrator. Setting `smooth = FALSE`.
  Warning:
  Too few unique observations for spline-based calibrator. Setting `smooth = FALSE`.
  Warning:
  Too few unique observations for spline-based calibrator. Setting `smooth = FALSE`.
  Warning:
  Too few unique observations for spline-based calibrator. Setting `smooth = FALSE`.
  Warning:
  Too few unique observations for spline-based calibrator. Setting `smooth = FALSE`.
  Warning:
  Too few unique observations for spline-based calibrator. Setting `smooth = FALSE`.
  Warning:
  Too few unique observations for spline-based calibrator. Setting `smooth = FALSE`.

topepo/probably documentation built on June 8, 2025, 4:23 a.m.