Package: BLOQ
Type: Package
Version: 0.1-1
Date: 2020-06-03
Title: Impute and Analyze Data with BLOQ Observations
Authors@R: c(
	person("Vahid","Nassiri", email = "vahid.nassiri@openanalytics.eu", role = "cre"),
	person("Helen", "Barnett", email= "h.barnett@lancaster.ac.uk", role = "aut"),
	person("Helena", "Geys", email= "HGEYS@its.jnj.com", role = "aut"),
	person("Tom", "Jacobs", email= "TJACOBS1@its.jnj.com", role = "aut"),
	person("Thomas", "Jaki", email= "t.jaki@lancaster.ac.uk", role = "aut"))
Maintainer: Vahid Nassiri <vahid.nassiri@openanalytics.eu>
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: 
        <https://www.tandfonline.com/doi/full/10.1080/19466315.2019.1701546>). 
Imports: maxLik, mvtnorm,
Suggests: testthat,
License: GPL (>= 2)
Encoding: UTF-8
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-06-06 05:32:49 UTC; vnassiri
Author: Vahid Nassiri [cre],
  Helen Barnett [aut],
  Helena Geys [aut],
  Tom Jacobs [aut],
  Thomas Jaki [aut]
Repository: CRAN
Date/Publication: 2020-06-07 18:30:06 UTC
Built: R 4.2.0; ; 2022-04-26 11:54:35 UTC; unix
