simul.data: Simulated data set

In masko-p/DIFlasso: A penalty approach to Differential Item Functioning in Rasch Models

Description

Simulated data set with 100 persons, 10 items and 3 (standardized) covariates

Usage

data(simul.data)

Format

Item1

Item1

Item2

Item2

Item3

Item3

Item4

Item4

Item5

Item5

Item6

Item6

Item7

Item7

Item8

Item8

Item9

Item9

Item10

Item10

CovBin1

Binary covariate (standardized)

CovBin2

Binary covariate (standardized)

CovMet

Metric covariate (standardized)

References

Tutz, Gerhard and Schauberger, Gunther (2013): A Penalty Approach to Differential Item Functioning in Rasch Models, Technical Report 134, Department of Statistics, LMU Munich

Examples

## Not run: 
data(simul.data)

Y <- simul.data[,1:10]
X <- simul.data[,11:13]

m1 <- DIFlasso(Y = Y, X = X, trace = TRUE) 
print(m1)
plot(m1)

m2 <- refitDIFlasso(m1)
print(m2)
plot(m2)

## End(Not run)

masko-p/DIFlasso documentation built on May 21, 2019, 12:42 p.m.