Survival Prediction Ensemble Classification Tool

A tool for survival analysis using a discrete time approach with ensemble binary classification. 'spect' provides a simple interface consistent with commonly used R data analysis packages, such as 'caret', a variety of parameter options to help facilitate search automation, a high degree of transparency to the end-user - all intermediate data sets and parameters are made available for further analysis and useful, out-of-the-box visualizations of model performance. Methods for transforming survival data into discrete-time are adapted from the 'autosurv' package by Suresh et al., (2022) .


spect

An R package, short for survival probability ensemble classification tool, providing a simple, transparent, flexible interface for generating survival predictive models using binary classifiers with the option of using stacked ensemble modeling.

Reference manual

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install.packages("spect")

1.0 by Stephen Abrams, 2 years ago


https://github.com/dawdawdo/spect


Report a bug at https://github.com/dawdawdo/spect/issues


Browse source code at https://github.com/cran/spect


Authors: Stephen Abrams [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Imports doParallel, ggplot2, survminer, riskRegression, caret, caretEnsemble, survival, rlang

Depends on futile.logger, dplyr

Suggests knitr, rmarkdown, randomForest, kernlab, testthat


See at CRAN