plot.UPCM {UPCM} | R Documentation |
Plot function for UPCM
Description
Plot function for a UPCM
or a UGPCM
object. Plots show coefficient estimates together with
confidence intervals displayed as star plots.
Usage
## S3 method for class 'UPCM'
plot(x, sig = 0.05, KIfactor = 0.9, xlim, ylim, ...)
Arguments
x |
|
sig |
Significance level for confidence intervals, default is |
KIfactor |
Parameter to regulate the shape of the resulting star. |
xlim |
See |
ylim |
See |
... |
Further plot arguments. |
Value
No return value, called for side effects
Author(s)
Gunther Schauberger
gunther.schauberger@tum.de
https://www.sg.tum.de/epidemiologie/team/schauberger/
References
Tutz, Gerhard and Schauberger, Gunther (2020): Uncertainty in Latent Trait Models, Applied Psychological Measurement, https://journals.sagepub.com/doi/abs/10.1177/0146621620920932?journalCode=apma
See Also
Examples
data(tenseness)
Y <- data.matrix(tenseness[,1:4])
X <- model.matrix(~ Gender + Age, data = tenseness)[,-1]
m_upcm <- UPCM(Y = Y, X = X, cores = 2, GPCM = FALSE)
m_upcm
plot(m_upcm)
[Package UPCM version 0.0-3 Index]