plot_pcorgraph {heteromixgm} | R Documentation |
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)
Arguments
Theta |
List of |
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. |
Value
There is no return value. The function only shows plots in the graphics output device.
Author(s)
Sjoerd Hermes, Joost van Heerwaarden and Pariya Behrouzi
Maintainer: Sjoerd Hermes sjoerd.hermes@wur.nl
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
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)