Function reference • collinearityR

All functions

col_identify(): Identifies multicollinearity using Pearson's coefficient and suggests the variable with the highest VIF score out of the correlated pair for elimination.

corr_heatmap(): Plots the dataframe as a color-encoded Pearson correlation matrix of explanatory variables.

corr_matrix(): Calculates Pearson correlation coefficients for all numeric variables. Rounds the outcome to desired decimals. Outputs a matrix or a dataframe (longer matrix)

vif_bar_plot(): Returns a list containing a tibble that includes Variance Inflation Factor (VIF) score and a bar chart for the VIF scores alongside the specified threshold for each explanatory variable in a linear regression model.