aba: Automated Biomarker Analysis

A tool to fit clinical prediction models and plan clinical trials using biomarker data across multiple analysis factors (groups, outcomes, predictors).

Version: 0.0.9
Depends: R (≥ 2.10)
Imports: purrr, dplyr, broom, tibble, ggplot2, glue, magrittr, stringr, rlang, tidyr, stats, generics
Suggests: covr, knitr, plotly, rmarkdown, testthat (≥ 3.0.0), methods, tidyselect, nlme, yardstick, pins, Matrix, MuMIn, broom.mixed, emmeans, ggpubr, pROC, progress, OptimalCutpoints, tableone, longpower, withr, reactable, psychometric, readr, writexl
Published: 2021-12-16
Author: Nicholas Cullen [aut, cre]
Maintainer: Nicholas Cullen <nickcullen31 at gmail.com>
License: GPL (≥ 3)
URL: https://github.com/ncullen93/abaR/, https://ncullen93.github.io/abaR/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: aba results

Documentation:

Reference manual: aba.pdf
Vignettes: An overview of the abaR package
An introduction to aba models

Downloads:

Package source: aba_0.0.9.tar.gz
Windows binaries: r-devel: aba_0.0.9.zip, r-release: aba_0.0.9.zip, r-oldrel: aba_0.0.9.zip
macOS binaries: r-release (arm64): aba_0.0.9.tgz, r-release (x86_64): aba_0.0.9.tgz, r-oldrel: aba_0.0.9.tgz

Linking:

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