Description Usage Arguments Value
Summarize simulations based on a combination of multiple parameter values
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object 
A multiple simulation object created with

para 
The name of the fixed or random effect that should be summarized. 
model 
Specifies which model that should be summarized. Accepts either
a 
alpha 
Indicates the significance level. Default is 0.05 (twotailed), onetailed tests are not yet implemented. 
model_selection 
Indicates if model selection should be performed. If 
LRT_alpha 
Indicates the alpha level used when comparing models during model selection. 
... 
Optional arguments. 
A list
with class plcp_multi_sim_summary
. It can be coursed to a data.frame
,
using as.data.frame
. Each row summarizes one of the parameter combinations used in the simulation.
In addition to the setup parameter values, it contains the following columns:
parameter
is the name of the coefficient
M_est
is the mean of the estimates taken over all the simulations.
theta
is the population parameter values specified with study_parameters
M_se
is the mean estimated standard error taken over all the simulations.
SD_est
is the empirical standard error; i.e. the standard
deviation of the distribution of the generated estimates
power
is the empirical power of the Wald Z test, i.e. the proportion
of simulated pvalues < alpha
power_satt
is the empirical power of the Wald t test using
Satterthwaite's degree of freedom approximation.
satt_NA
is the proportion of Satterthwaite's approximations that failed.
prop_zero
is the proportion of the simulated estimates that
are zero; only shown for random effects.
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