heteromixgm (version 2.0.2)

plot_pcorgraph: Plot partial correlation graphs

Description

Plots all \(K\) partial correlation graphs based on the \(\Theta\) selected using one of the information criteria.

Usage

plot_pcorgraph(Theta, pos_clr, neg_clr, plot_layout, label_cex)

Value

There is no return value. The function only shows plots in the graphics output device.

Arguments

Theta

List of \(K\) selected \(\Theta\)

pos_clr

Color, hexadecimal color allowed, representing the positive partial correlations in the plotted graphs.

neg_clr

Color, hexadecimal color allowed, representing the negative partial correlations in the plotted graphs.

plot_layout

Number of rows and columns for the plot layout.

label_cex

Size of the vertex labels in the plotted graphs.

Author

Sjoerd Hermes, Joost van Heerwaarden and Pariya Behrouzi
Maintainer: Sjoerd Hermes

References

1. Hermes, S., van Heerwaarden, J., & Behrouzi, P. (2024). Copula graphical models for heterogeneous mixed data. Journal of Computational and Graphical Statistics, 1-15.

Examples

# \donttest{
temp <- data_sim(network = "Random", n = 100, p = 20, K = 4, ncat = 6, rho = 0.25,
         gamma_o = 0.5, gamma_b = 0.1, gamma_p = 0.2, prob = 0.05)
X <- temp$z
l1 <- c(0.1)
l2 <- c(0,0.1)
gamma <- 0.5
ncores <- 1
est <- heteromixgm(X, "Approximate", l1, l2, ncores)
temp = modselect(est, X, l1, l2, gamma)
plot_pcorgraph(temp$theta_aic, "green", "red", c(2,2), 4.5)
# }