BLOQ: Methods to Impute and Analyze Data with BLOQ Observations

Provides methods for estimating the area under the concentration versus time curve (AUC) and its standard error in the presence of Below the Limit of Quantification (BLOQ) observations. Two approaches are implemented: direct estimation using censored maximum likelihood, and a two-step approach that first imputes BLOQ values using various methods and then computes the AUC using the imputed data. Technical details are described in Barnett et al. (2020), "Methods for Non-Compartmental Pharmacokinetic Analysis With Observations Below the Limit of Quantification," Statistics in Biopharmaceutical Research. <doi:10.1080/19466315.2019.1701546>.

Version:	0.1-2
Imports:	maxLik, mvtnorm
Suggests:	testthat
Published:	2025-05-05
DOI:	10.32614/CRAN.package.BLOQ
Author:	Vahid Nassiri [cre], Helen Barnett [aut], Helena Geys [aut], Tom Jacobs [aut], Thomas Jaki [aut]
Maintainer:	Vahid Nassiri <vahid.nassiri at openanalytics.eu>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
Materials:	NEWS
In views:	MissingData
CRAN checks:	BLOQ results

Documentation:

Reference manual:

BLOQ.html , BLOQ.pdf

Downloads:

Package source:	BLOQ_0.1-2.tar.gz
Windows binaries:	r-devel: BLOQ_0.1-2.zip, r-release: BLOQ_0.1-2.zip, r-oldrel: BLOQ_0.1-2.zip
macOS binaries:	r-release (arm64): BLOQ_0.1-2.tgz, r-oldrel (arm64): BLOQ_0.1-2.tgz, r-release (x86_64): BLOQ_0.1-2.tgz, r-oldrel (x86_64): BLOQ_0.1-2.tgz
Old sources:	BLOQ archive

Linking:

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