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BLOQ
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]
[Scholar Profile | Author Map]
All associated links for this package
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 22 Dec. 2024.
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
Functions, R codes and Examples using
the BLOQ R package
Some associated functions: estimateAUCandStdErr . estimateAUCwithCMLperTimePoint . estimateAUCwithFullCML . estimateAUCwithMVNCML . estimateAUCwithPairwiseCML . imputeBLOQ . imputeCML . imputeConstant . imputeKernelDensityEstimation . imputeROS . simulateBealModelFixedEffects . simulateBealModelMixedEffects .
Some associated R codes: computeLogLikforEachRow.R . computeMVNLogLik.R . convertCovandVec.R . estimateAUCandStdErr.R . estimateAUCwithCMLperTimePoint.R . estimateAUCwithFullCML.R . estimateAUCwithMVNCML.R . estimateAUCwithPairwiseCML.R . imputeBLOQ.R . imputeCML.R . imputeConstant.R . imputeKernelDensityEstimation.R . imputeKernelDensityEstimationInnerIteration.R . imputeROS.R . simulateBealModelFixedEffects.R . simulateBealModelMixedEffects.R . Full BLOQ package functions and examples
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