Function reference • collinear

All functions

auc_score(): Area Under the Receiver Operating Characteristic

collinear(): Automated multicollinearity management

cor_df(): Correlation data frame of numeric and character variables

cor_matrix(): Correlation matrix of numeric and character variables

cor_select(): Automated multicollinearity reduction via pairwise correlation

cramer_v(): Bias Corrected Cramer's V

f_gam_auc_balanced(): AUC of Logistic GAM Model

f_gam_auc_unbalanced(): AUC of Logistic GAM Model with Weighted Cases

f_gam_deviance(): Explained Deviance from univariate GAM model

f_logistic_auc_balanced(): AUC of Binomial GLM with Logit Link

f_logistic_auc_unbalanced(): AUC of Binomial GLM with Logit Link and Case Weights

f_rf_auc_balanced(): AUC of Random Forest model of a balanced binary response

f_rf_auc_unbalanced(): AUC of Random Forest model of an unbalanced binary response

f_rf_rsquared() f_rf_deviance(): R-squared of Random Forest model

f_rsquared(): R-squared between a response and a predictor

identify_non_numeric_predictors(): Identify non-numeric predictors

identify_numeric_predictors(): Identify numeric predictors

identify_zero_variance_predictors(): Identify zero and near-zero-variance predictors

preference_order(): Compute the preference order for predictors based on a user-defined function.

target_encoding_lab(): Target encoding of non-numeric variables

target_encoding_mean() target_encoding_rnorm() target_encoding_rank() target_encoding_loo() add_white_noise(): Target-encoding methods

toy: One response and four predictors with varying levels of multicollinearity

validate_df(): Validate input data frame

validate_predictors(): Validate the 'predictors' argument for analysis

validate_response(): Validate the 'response' argument for target encoding of non-numeric variables

vi: 30.000 records of responses and predictors all over the world

vi_predictors: Predictor names in data frame 'vi'

vif_df(): Variance Inflation Factor

vif_select(): Automated multicollinearity reduction via Variance Inflation Factor