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bulkQC  

Quality Control and Outlier Identification in Bulk for Multicenter Trials
View on CRAN: Click here


Download and install bulkQC package within the R console
Install from CRAN:
install.packages("bulkQC")

Install from Github:
library("remotes")
install_github("cran/bulkQC")

Install by package version:
library("remotes")
install_version("bulkQC", "1.1")



Attach the package and use:
library("bulkQC")
Maintained by
Joseph Rigdon
[Scholar Profile | Author Map]
First Published: 2024-04-27
Latest Update: 2024-04-27
Description:
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).
How to cite:
Joseph Rigdon (2024). bulkQC: Quality Control and Outlier Identification in Bulk for Multicenter Trials. R package version 1.1, https://cran.r-project.org/web/packages/bulkQC. Accessed 03 Apr. 2025.
Previous versions and publish date:
No previous versions
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Complete documentation for bulkQC
Functions, R codes and Examples using the bulkQC R package
Full bulkQC package functions and examples
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