calculate_pre {neutroSurvey} | R Documentation |
Calculate Percentage Relative Efficiency (PRE)
Description
Computes the Percentage Relative Efficiency (PRE) of different MSE estimators relative to the regression estimator MSE. PRE values greater than 100 indicate better efficiency than the regression estimator, while values less than 100 indicate worse efficiency.
Usage
calculate_pre(result_all_mse)
Arguments
result_all_mse |
A list containing MSE results from |
Value
A list containing PRE values for each estimator type:
PRE_t0 - PRE for standard MSE estimator
PRE_t1 - PRE for ratio-adjusted MSE estimator
PRE_t2 - PRE for kurtosis-adjusted MSE estimator
PRE_exp - PRE for exponential MSE estimator
PRE_r - Reference value (100) for regression estimator
See Also
calculate_all_mse_neutrosophic
for generating the input MSE values
Examples
data(japan_neutro)
metrics <- compute_all_metrics(japan_neutro)
mse_results <- calculate_all_mse_neutrosophic(
0.01, 0.02,
metrics$mean_interval_Y[1], metrics$mean_interval_Y[2],
metrics$mean_interval_X[1], metrics$mean_interval_X[2],
metrics$cv_interval_X[1], metrics$cv_interval_X[2],
metrics$cv_interval_Y[1], metrics$cv_interval_Y[2],
metrics$correlation_results[1], metrics$correlation_results[2],
metrics$kurtosis_interval_X[1], metrics$kurtosis_interval_X[2]
)
pre_results <- calculate_pre(mse_results)
print(pre_results)
[Package neutroSurvey version 0.1.0 Index]