Package: bulkQC 1.1

bulkQC: Quality Control and Outlier Identification in Bulk for Multicenter Trials

Multicenter randomized trials involve the collection and analysis of data from numerous study participants across multiple sites. Outliers may be present. To identify outliers, this package examines data at the individual level (univariate and multivariate) and site-level (with and without covariate adjustment). Methods are outlined in further detail in Rigdon et al (to appear).

Authors:Joseph Rigdon <[email protected]>

bulkQC_1.1.tar.gz
bulkQC_1.1.zip(r-4.5)bulkQC_1.1.zip(r-4.4)bulkQC_1.1.zip(r-4.3)
bulkQC_1.1.tgz(r-4.5-any)bulkQC_1.1.tgz(r-4.4-any)bulkQC_1.1.tgz(r-4.3-any)
bulkQC_1.1.tar.gz(r-4.5-noble)bulkQC_1.1.tar.gz(r-4.4-noble)
bulkQC_1.1.tgz(r-4.4-emscripten)bulkQC_1.1.tgz(r-4.3-emscripten)
bulkQC.pdf |bulkQC.html✨
bulkQC/json (API)

# Install 'bulkQC' in R:
install.packages('bulkQC', repos = c('https://joerigdon.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 496 downloads 5 exports 5 dependencies

Last updated 11 months agofrom:7f69749ab1. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 24 2025
R-4.5-winOKMar 24 2025
R-4.5-macOKMar 24 2025
R-4.5-linuxOKMar 24 2025
R-4.4-winOKMar 24 2025
R-4.4-macOKMar 24 2025
R-4.4-linuxOKMar 24 2025
R-4.3-winOKMar 24 2025
R-4.3-macOKMar 24 2025

Exports:getOutliersind_multiind_uninValsite_outliers

Dependencies:isotreejsonliteRcppRhpcBLASctlstddiff