Calculates root-mean-square error (RMSE) metrics for a single `discourse.object` output, comparing model estimates of the simulated data against original target inputs.
Value
A named `list` of RMSE values. Possible elements:
- rmse_cor
Numeric. RMSE of correlation estimates for LM- and LME-based objects.
- rmse_reg
Numeric. RMSE of regression coefficient estimates for LM- and LME-based objects.
- rmse_se
Numeric. RMSE of standard error estimates for LM- and LME-based objects.
- rmse_F
Numeric. RMSE of F-values for ANOVA-based objects.
- rmse_mean
Numeric. RMSE of means for vector-based objects.
- rmse_sd
Numeric. RMSE of standard deviations for vector-based objects.
Examples
if (FALSE) { # \dontrun{
# Regression-based result
result <- optim_lm(args = ..., ...)
get_rmse(result)
} # }