UPCM (version 0.0-4)

plot.UPCM: 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 UPCM
plot(x, sig = 0.05, KIfactor = 0.9, xlim, ylim, ...)

Value

No return value, called for side effects

Arguments

x

UPCM object

sig

Significance level for confidence intervals, default is sig = 0.05.

KIfactor

Parameter to regulate the shape of the resulting star.

xlim

See xlim in plot.default.

ylim

See ylim in plot.default.

...

Further plot arguments.

Author

Gunther Schauberger

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

UPCM

Examples

# \donttest{
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)
# }