mecor: Measurement Error Correction in Linear Models with a Continuous Outcome

Covariate measurement error correction is implemented by means of regression calibration by Carroll RJ, Ruppert D, Stefanski LA & Crainiceanu CM (2006, ISBN:1584886331), efficient regression calibration by Spiegelman D, Carroll RJ & Kipnis V (2001) <doi:10.1002/1097-0258(20010115)20:1%3C139::AID-SIM644%3E3.0.CO;2-K> and maximum likelihood estimation by Bartlett JW, Stavola DBL & Frost C (2009) <doi:10.1002/sim.3713>. Outcome measurement error correction is implemented by means of the method of moments by Buonaccorsi JP (2010, ISBN:1420066560) and efficient method of moments by Keogh RH, Carroll RJ, Tooze JA, Kirkpatrick SI & Freedman LS (2014) <doi:10.1002/sim.7011>. Standard error estimation of the corrected estimators is implemented by means of the Delta method by Rosner B, Spiegelman D & Willett WC (1990) <doi:10.1093/oxfordjournals.aje.a115715> and Rosner B, Spiegelman D & Willett WC (1992) <doi:10.1093/oxfordjournals.aje.a116453>, the Fieller method described by Buonaccorsi JP (2010, ISBN:1420066560), and the Bootstrap by Carroll RJ, Ruppert D, Stefanski LA & Crainiceanu CM (2006, ISBN:1584886331).

Version:	1.0.0
Depends:	R (≥ 2.10)
Imports:	lme4, lmerTest, numDeriv
Suggests:	knitr, rmarkdown
Published:	2021-12-01
Author:	Linda Nab
Maintainer:	Linda Nab <lindanab4 at gmail.com>
License:	GPL-3
URL:	https://github.com/LindaNab/mecor
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	mecor results

Documentation:

Reference manual:	mecor.pdf
Vignettes:	mecor_mece random_covme standard_covme

Downloads:

Package source:	mecor_1.0.0.tar.gz
Windows binaries:	r-devel: mecor_1.0.0.zip, r-release: mecor_1.0.0.zip, r-oldrel: mecor_1.0.0.zip
macOS binaries:	r-release (arm64): mecor_1.0.0.tgz, r-oldrel (arm64): mecor_1.0.0.tgz, r-release (x86_64): mecor_1.0.0.tgz, r-oldrel (x86_64): mecor_1.0.0.tgz
Old sources:	mecor archive

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