plot_LLIC {LLIC} | R Documentation |
advanced_plotting_LLIC for LLIC
Description
This function visualizes the results of the LLIC analysis, including a comparison of actual and predicted values, and a bar chart of model coefficients.
Usage
plot_LLIC(X, Y, result)
Arguments
X |
Design matrix used in the LLIC analysis. |
Y |
Random response vector of observed values used in the LLIC analysis. |
result |
A list containing the results of the Laplace LIC analysis from the LLIC function. |
Value
A list containing two 'ggplot' objects:
Actual_vs_Pred |
A scatter plot comparing the actual vs predicted values. |
Coef |
A bar chart displaying the model's coefficients. |
Examples
set.seed(12)
library(VGAM)
library(rlang)
library(dplyr)
library(ggplot2)
X <- matrix(data = sample(1:3, 1200 * 5, replace = TRUE), nrow = 1200, ncol = 5)
b <- sample(1:3, 5, replace = TRUE)
e <- rlaplace(1200, 0, 1)
Y <- X %*% b + e
alpha <- 0.05
K <- 10
result <- LLIC(X, Y, alpha, K)
plot_LLIC(X, Y, result)
plots <- plot_LLIC(X, Y, result)
print(plots$Actual_vs_Pred)
print(plots$Coef)
[Package LLIC version 3.0.0 Index]