rADA: Statistical Analysis and Cut-Point Determination of Immunoassays

Systematically transform immunoassay data, evaluate if the data is normally distributed, and pick the right method for cut point determination based on that evaluation. This package can also produce plots that are needed for reports, so data analysis and visualization can be done easily.

Version: 1.1.9
Depends: R (≥ 3.5.0)
Imports: lme4 (≥ 1.1.21), ggplot2 (≥ 3.2.1), matrixStats (≥ 0.56.0), reshape2 (≥ 1.4.3), lmerTest (≥ 3.1.0), e1071 (≥ 1.7.2), tidyr (≥ 1.0.0), stringr (≥ 1.4.0), dplyr (≥ 0.8.3), Hmisc (≥ 4.3.0), gridExtra (≥ 2.3), grid (≥ 3.5.3), stats (≥ 3.5.3), grDevices (≥ 3.5.3), utils (≥ 3.5.3), forestplot (≥ 1.10), methods (≥ 3.5.3), knitr (≥ 1.29), openxlsx (≥ 4.2.2), car (≥ 3.0)
Suggests: markdown (≥ 1.1)
Published: 2021-03-23
Author: Emma Gail [cre, aut], Lidija Turkovic [aut], Anil Dolgun [ctb], Monther Alhamdoosh [ctb], Milica Ng [ctb]
Maintainer: Emma Gail <emmahelengail at gmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: rADA results

Downloads:

Reference manual: rADA.pdf
Vignettes: Screening Cut Point Determination with rADA
Screening Cut Point Determination with rADA Supplement
Package source: rADA_1.1.9.tar.gz
Windows binaries: r-devel: rADA_1.1.9.zip, r-release: rADA_1.1.9.zip, r-oldrel: rADA_1.1.9.zip
macOS binaries: r-release (arm64): rADA_1.1.9.tgz, r-release (x86_64): rADA_1.1.9.tgz, r-oldrel: rADA_1.1.9.tgz

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