Statistical Analysis and Cut-Point Determination of Immunoassays
Overview
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.
Install
Health
NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Namespaces in Imports field not imported from: ‘Hmisc’ ‘car’ ‘dplyr’ ‘grid’ ‘gridExtra’ ‘knitr’ ‘lmerTest’ ‘tidyr’ All declared Imports should be used.
- NOTE11 OK, 2 NOTE2026-06-09
- ERROR10 OK, 2 NOTE, 1 ERROR2026-06-08
- NOTE9 OK, 5 NOTE2026-03-10
Documentation
- Help pages
- 12
- Examples that run
- 100%10 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Installing rADA adds 97 packages (54 with compiled code, 84 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
Datasets
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 1.1.9Latest2021-03-23 · current release
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2021-03-23
- Total releases
- 1 / 5 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 13 KB / 1 file
- Download size
- 4.7 MB
Cite
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