Get several performance measures of (effect estimation) simulation studies
Source:R/functions.R
performanceMeas.Rd
Calculation of several performance measure for the estimates obtained from the simulation repeats
Arguments
- vecEst
vector of estimated effect values from simulation repeats
- vecSe
vector of estimated standard error from simulation repeats
- vec.p
vector of significance (probability of being sampled from null hypothesis) from simulation repeats
- theta
true value for effect
- alpha
Type I error rate = significance level for testing the null hypothesis
Value
Vector of Performance measures:
Average of the estimates of the parameter of interest
Empirical standard error as an assessment of the estimation uncertainty
Bias = mean deviation of the estimates from the true value of the parameter of interest is an indicator of accuracy
Coverage of a confidence interval is a measurement that can be used to control the Type I error
Empirical power = the proportion of simulation samples in which the H0 of no effect is rejected at a significance level when H0 is false