General simulation parameters
Population size
Total size of the mega-population.
Number of variables
Number of predictors in the mega-population.
Dependence
Correlation strength between predictors.
Dependent share
Proportion of dependent predictors.
Sparsity
Share of coefficients that are zero.
Coefficient mean
Mean of the regression coefficients.
Coefficient SD
Standard deviation of the coefficients.
Target R²
Desired R² of the fitted model.
Model type
Type of model used in the simulation.
Performance metric
Metric to optimise.
Min sample size
Minimal sample size.
Max sample size
Maximal sample size.
Step size
Increment between sample sizes.
Repetitions
Number of Monte-Carlo repetitions per sample size.
Convergence threshold
Stop when metric improvement is below this value.
Number of cores
How many CPU cores to use for parallel processing.
Advanced simulation input
Population size
Total size of the mega-population.
Number of variables
Number of predictors in the mega-population.
Dependence
Correlation strength between predictors.
Dependent share
Proportion of dependent predictors.
Sparsity
Share of coefficients that are zero.
Coefficient mean
Mean of the regression coefficients.
Coefficient SD
Standard deviation of the coefficients.
Target R²
Desired R² of the fitted model.
Model type
Type of model used in the simulation.
Performance metric
Metric to optimise.
Min sample size
Minimal sample size.
Max sample size
Maximal sample size.
Step size
Increment between sample sizes.
Repetitions
Number of Monte-Carlo repetitions per sample size.
Convergence threshold
Stop when metric improvement is below this value.
Number of cores
How many CPU cores to use for parallel processing.