-Supported regression model |
-Model-based: Cook (or Pareto for Bayesian models) |
-qf(0.5, ncol(x), nrow(x) - ncol(x)) (or 0.7 for Pareto) |
-check_outliers(model, method = “cook”) |
+Supported regression model |
+Model-based: Cook (or Pareto for Bayesian models) |
+qf(0.5, ncol(x), nrow(x) - ncol(x)) (or 0.7 for Pareto) |
+check_outliers(model, method = “cook”) |
-Structural Equation Modeling (or other unsupported model) |
-Multivariate: Minimum Covariance Determinant (MCD) |
-qchisq(p = 1 - 0.001, df = ncol(x)) |
-check_outliers(data, method = “mcd”) |
+Structural Equation Modeling (or other unsupported model) |
+Multivariate: Minimum Covariance Determinant (MCD) |
+qchisq(p = 1 - 0.001, df = ncol(x)) |
+check_outliers(data, method = “mcd”) |
-Simple test with few variables (t test, correlation, etc.) |
-Univariate: robust z scores (MAD) |
-qnorm(p = 1 - 0.001 / 2), ~ 3.29 |
-check_outliers(data, method = “zscore_robust”) |
+Simple test with few variables (t test, correlation, etc.) |
+Univariate: robust z scores (MAD) |
+qnorm(p = 1 - 0.001 / 2), ~ 3.29 |
+check_outliers(data, method = “zscore_robust”) |