check_collinearity.md
In performance: Assessment of Regression Models Performance

check_collinearity, ci = NULL

Code
  out
Output
  # Check for Multicollinearity

  Low Correlation

   Term  VIF Increased SE Tolerance
      N 1.00         1.00      1.00
      P 1.00         1.00      1.00
      K 1.00         1.00      1.00

check_collinearity, hurdle/zi models w/o zi-formula

Code
  print(out)
Output
  # Check for Multicollinearity

  * conditional component:

  Low Correlation

   Term  VIF   VIF 95% CI Increased SE Tolerance Tolerance 95% CI
    fem 1.06 [1.02, 1.20]         1.03      0.95     [0.83, 0.98]
    mar 1.06 [1.02, 1.20]         1.03      0.95     [0.83, 0.98]

  * zero inflated component:

  Low Correlation

   Term  VIF   VIF 95% CI Increased SE Tolerance Tolerance 95% CI
    fem 1.07 [1.02, 1.20]         1.03      0.94     [0.83, 0.98]
    mar 1.07 [1.02, 1.20]         1.03      0.94     [0.83, 0.98]