mcradds: Processing and Analyzing of Diagnostics Trials

Provides methods and functions to analyze the quantitative or qualitative performance for diagnostic assays, and outliers detection, reader precision and reference range are discussed. Most of the methods and algorithms refer to CLSI (Clinical & Laboratory Standards Institute) recommendations and NMPA (National Medical Products Administration) guidelines. In additional, relevant plots are constructed by 'ggplot2'.

Version: 1.1.0
Depends: R (≥ 3.6)
Imports: boot, checkmate, DescTools, dplyr, formatters, ggplot2, lifecycle, magrittr, methods, mcr, pROC, purrr, rlang, stats, tibble, tidyr, VCA
Suggests: knitr, rmarkdown, spelling, testthat (≥ 3.0.0), usethis, vdiffr
Published: 2023-12-04
Author: Kai Gu [aut, cre, cph]
Maintainer: Kai Gu <gukai1212 at 163.com>
BugReports: https://github.com/kaigu1990/mcradds/issues
License: GPL (≥ 3)
URL: https://github.com/kaigu1990/mcradds, https://kaigu1990.github.io/mcradds/
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: mcradds results

Documentation:

Reference manual: mcradds.pdf
Vignettes: Introduction to mcradds

Downloads:

Package source: mcradds_1.1.0.tar.gz
Windows binaries: r-devel: mcradds_1.1.0.zip, r-release: mcradds_1.1.0.zip, r-oldrel: mcradds_1.0.1.zip
macOS binaries: r-release (arm64): mcradds_1.1.0.tgz, r-oldrel (arm64): mcradds_1.1.0.tgz, r-release (x86_64): mcradds_1.1.0.tgz, r-oldrel (x86_64): mcradds_1.0.1.tgz
Old sources: mcradds archive

Linking:

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