evaluate_parameters: Evaluate estimated parameters

In missMethods: Methods for Missing Data

Evaluate estimated parameters

Description

Compare estimated parameters to true parameters

Usage

evaluate_parameters(
  pars_est,
  pars_true,
  criterion = "RMSE",
  tolerance = sqrt(.Machine$double.eps),
  est_pars,
  true_pars
)

Arguments

pars_est	A vector or matrix of estimated parameters.
pars_true	True parameters, normally a vector or a matrix.
criterion	A string specifying the used criterion for comparing the imputed and original values.
tolerance	Numeric, only used for criterion = "precision": numeric differences smaller than tolerance are treated as zero/equal.
est_pars	Deprecated, renamed to pars_est.
true_pars	Deprecated, renamed to pars_true.

Details

The same criterions are implemented for evaluate_parameters and evaluate_imputed_values. The possible choices are documented in evaluate_imputed_values.

Value

A numeric vector of length one.

References

Cetin-Berber, D. D., Sari, H. I., & Huggins-Manley, A. C. (2019). Imputation Methods to Deal With Missing Responses in Computerized Adaptive Multistage Testing. Educational and psychological measurement, 79(3), 495-511.

See Also

Other evaluation functions: evaluate_imputation_parameters(), evaluate_imputed_values()

Examples

evaluate_parameters(1:4, 2:5, "RMSE")

missMethods documentation built on Sept. 16, 2022, 5:08 p.m.