Summary method for objects of class "PerFit".
1 2 3 4 5 6 7 
object 
Object of class "PerFit". 
cutoff.obj 
Object of class "PerFit.cutoff". 
ModelFit 
Method required to compute modelfitting item score patterns. The options available are 
Nreps 
Number of modelfitting item score patterns generated. Default is 1000. 
IP 
Matrix with previously estimated item parameters. Default is 
IRT.PModel 
Parametric IRT model (required if 
Ability 
Matrix with previously estimated item parameters. Default is 
Ability.PModel 
Method to use in order to estimate the latent ability parameters (required if 
mu 
Mean of the apriori distribution. Only used when 
sigma 
Standard deviation of the apriori distribution. Only used when 
Blvl 
Significance level for bootstrap distribution (value between 0 and 1). Default is 0.05. 
Breps 
Number of bootstrap resamples. Default is 1000. 
UDlvl 
Userdefined cutoff level. 
CIlvl 
Level of bootstrap percentile confidence interval for the cutoff statistic. 
... 
Additional arguments to be passed to 
For a given object of class PerFit
, this function prints: The PFS used, the cutoff value, the tail of the distribution of the personfit statistic associated to misfit, the proportion of flagged respondents in the sample, and their row indices.
Jorge N. Tendeiro j.n.tendeiro@rug.nl
cutoff
, flagged.resp
, plot.PerFit
, summary.PerFit
1 2 3 4 5 6 7  # Load the inadequacy scale data (dichotomous item scores):
data(InadequacyData)
# Compute the ZU3 scores:
ZU3.out < ZU3(InadequacyData)
summary(ZU3.out)

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.
All documentation is copyright its authors; we didn't write any of that.