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BLOQ  

Impute and Analyze Data with BLOQ Observations
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BLOQ", "0.1-1")



Attach the package and use:
library("BLOQ")
Maintained by
Vahid Nassiri
[Scholar Profile | Author Map]
First Published: 2018-08-13
Latest Update: 2020-06-07
Description:
It includes estimating the area under the concentrations versus time curve (AUC) and its standard error for data with Below the Limit of Quantification (BLOQ) observations. Two approaches are implemented: direct estimation using censored maximum likelihood, also by first imputing the BLOQ's using various methods, then compute AUC and its standard error using imputed data. Technical details can found in Barnett, Helen Yvette, Helena Geys, Tom Jacobs, and Thomas Jaki. "Methods for Non-Compartmental Pharmacokinetic Analysis With Observations Below the Limit of Quantification." Statistics in Biopharmaceutical Research (2020): 1-12. (available online: ).
How to cite:
Vahid Nassiri (2018). BLOQ: Impute and Analyze Data with BLOQ Observations. R package version 0.1-1, https://cran.r-project.org/web/packages/BLOQ. Accessed 10 Apr. 2025.
Previous versions and publish date:
0.1-0 (2018-08-13 16:40)
Other packages that cited BLOQ R package
View BLOQ citation profile
Other R packages that BLOQ depends, imports, suggests or enhances
Complete documentation for BLOQ
Downloads during the last 30 days
03/1103/1203/1303/1403/1503/1603/1703/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/2803/2903/3003/3104/0104/0204/0304/0404/0504/0604/0704/08Downloads for BLOQ246810121416TrendBars

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