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SeroTrackR: Serology-Based Data Analysis and Visualization

Data wrangling and cleaning, quality control checks and implementation of machine learning classification algorithm.

Version: 1.0.0
Depends: R (≥ 4.1.0)
Imports: dplyr, drc, forcats, ggplot2, here, janitor, kableExtra, knitr, magrittr, openxlsx, parsnip, purrr, ranger, readr, readxl, rmarkdown, stats, stringr, tidyr, tidyselect, utils, workflows
Suggests: glue, htmltools, httr, jsonlite, shiny.fluent, tidyverse, zoo
Published: 2026-03-26
DOI: 10.32614/CRAN.package.SeroTrackR
Author: Dionne Argyropoulos [aut, cre]
Maintainer: Dionne Argyropoulos <argyropoulos.d at wehi.edu.au>
BugReports: https://github.com/dionnecargy/SeroTrackR/issues
License: CC BY 4.0
URL: https://github.com/dionnecargy/SeroTrackR, https://dionnecargy.github.io/SeroTrackR/
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: SeroTrackR results

Documentation:

Reference manual: SeroTrackR.html , SeroTrackR.pdf
Vignettes: FAQs (source, R code)
Pk/Pv/Pf Serology Tutorial (source, R code)
PvLDH Tutorial (source, R code)
PvSeroApp in R Tutorial (source, R code)
Before You Begin (source)

Downloads:

Package source: SeroTrackR_1.0.0.tar.gz
Windows binaries: r-devel: SeroTrackR_1.0.0.zip, r-release: SeroTrackR_1.0.0.zip, r-oldrel: not available
macOS binaries: r-release (arm64): SeroTrackR_1.0.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): SeroTrackR_1.0.0.tgz, r-oldrel (x86_64): SeroTrackR_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SeroTrackR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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