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spect: Survival Prediction Ensemble Classification Tool

A tool for survival analysis using a discrete time approach with ensemble binary classification. 'spect' provides asimple interface consistent with commonly used R data analysis packages, such as 'caret', a variety of parameter optionsto help facilitate search automation, a high degree of transparency to the end-user - all intermediate data sets andparameters are made available for further analysis and useful, out-of-the-box visualizations of model performance. Methodsfor transforming survival data into discrete-time are adapted from the 'autosurv' package by Suresh et al., (2022)<doi:10.1186/s12874-022-01679-6>.

Version:1.0
Depends:R (≥ 4.0),futile.logger,dplyr
Imports:doParallel,ggplot2,survminer,riskRegression,caret,caretEnsemble,survival,rlang
Suggests:knitr,rmarkdown,randomForest,kernlab,testthat (≥ 3.0.0)
Published:2025-04-08
DOI:10.32614/CRAN.package.spect
Author:Stephen Abrams [aut, cre]
Maintainer:Stephen Abrams <stephen.abrams at gmail.com>
BugReports:https://github.com/dawdawdo/spect/issues
License:GPL-3
URL:https://github.com/dawdawdo/spect
NeedsCompilation:no
Materials:README
CRAN checks:spect results

Documentation:

Reference manual:spect.html ,spect.pdf
Vignettes:create_synthetic_data (source,R code)
modeling_with_binary_classifiers (source,R code)
training_synthetic_data (source,R code)

Downloads:

Package source: spect_1.0.tar.gz
Windows binaries: r-devel:spect_1.0.zip, r-release:spect_1.0.zip, r-oldrel:spect_1.0.zip
macOS binaries: r-release (arm64):spect_1.0.tgz, r-oldrel (arm64):spect_1.0.tgz, r-release (x86_64):spect_1.0.tgz, r-oldrel (x86_64):spect_1.0.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=spectto link to this page.


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