R: Survival Prediction Ensemble Classification Tool

# Survival Prediction Ensemble Classification Tool

## Documentation for package ‘spect’ version 1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

create_person_period_data | Generates person-period data for any data set, given the bounds defined by the training set.
create_synthetic_data | Generates a survival data set for synthetic streaming service subscription data. The survival event in this case is a cancellation of the subscription. It is given as a function of household income and average number of hours watched in the prior month. Users can adjust the level of censoring and variance in the data with the supplied parameters or simply call with no parameters for a default distribution of data.
create_training_data | Generates modeling data from a person-period data set.
evaluate_model | Generates evaluation metrics, include time-dependent TPR and FPR rates as well as AUC
generate_bounds | Generates the intervals based on the survival times in the supplied data set using the quantile function.
plot_km | Plots a series of population Kaplan-Meier curves for different thresholds for both the test predictions and the ground truth
plot_survival_curve | Plots a sample of individual survival curves from the test data set.
plot_synthetic_data | Simple visualization of synthetic subscription data.
spect_predict | Generates predictions for each individual at each interval defined by the 'train_result' parameter. The interval-level predictions can be combined to generate surivival curves for an individual.
spect_train | Generates a trained caret model using the given primary binary classification. Optionally generates a stacked ensemble model if a list of base learners is supplied.