Package index • MiceExtVal

All functions

calculate_auc(): calculates the area under the curve for the given model
calculate_brier_score(): calculate the brier score for the given model
calculate_harrell_c_index(): Calculates Harrell C-Index for a model
calculate_predictions(): Calculate the predictions for a model
calculate_predictions(<cox>): Calculates the predictions for a Cox model
calculate_predictions(<logreg>): Calculates the predictions for a logistic regression model
calculate_predictions_recalibrated_type_1(): Calculates the type 1 recalibration predictions for a model.
calculate_predictions_recalibrated_type_1(<cox>): Calculates the type 1 recalibrated predictions
calculate_predictions_recalibrated_type_1(<logreg>): Calculates the type 1 recalibrated predictions for a logistic regression model.
calculate_predictions_recalibrated_type_2(): Calculates the type 2 recalibration predictions for a model.
calculate_predictions_recalibrated_type_2(<cox>): Calculates the type 2 recalibrated predictions for a Cox model
calculate_predictions_recalibrated_type_2(<logreg>): Calculates the type 2 recalibrated predictions for a logistic regression model
framingham: An example dataset from the Framingham study
get_calibration_plot(): Generates the calibration plot
get_calibration_plot_data_prop(): Generates the data needed for the calibration plot
get_calibration_plot_data_surv(): Generates the data needed for the calibration plot
get_forestplot(): Function that generates a C-Index forestplot for the given data
get_forestplot_data(): Generates the forestplot data needed in get_forestplot()
get_recalibrate_param_type_1_cox(): Obtain the \(\alpha\) value for the recalibration.
get_recalibrate_params_type_2_cox(): Obtains the \(S_0(t)\) and \(\beta_{overall}\) parameters for recalibration
get_stratified_calibration_plot_prop(): generates an stratified calibration plot
get_stratified_calibration_plot_surv(): generates an stratified calibration plot
gusto: An example of the GUSTO-I W region dataset extracted from the book 'Clinical Prediction Models', see references. We have inserted missing values to the dataset in order to be used as an example for this package.
mv_model_cox(): Creates a cox model.
mv_model_logreg(): Creates a logistic regression model
print(<MiceExtVal>): A generic function to print the MiceExtVal model