Description Usage Arguments Examples
This function allows to make model calibration for a model with bayesian method.
1 2 | bayesian.calibration(data, average_score, total_observations, PD,
central_tendency, calibration_data, calibration_data_score)
|
data |
The master scale data needs to be specified. |
average_score |
Average score variable in master scale data needs to be specified. |
total_observations |
Total observations variable in master scale data needs to be specified. |
PD |
PD variable in master scale data needs to be specified. |
central_tendency |
The central tendency which is the calibration target needs to be specified. |
calibration_data |
The scoring model data needs to be specified. |
calibration_data_score |
The score variable in calibration data needs to be specified to apply calibration. |
1 | bayesian.calibration(master_scale_data,"Score", "Total_obs", "PD", 0.06, model_data, "score")
|
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