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: 0.9.0
Depends: R (≥ 2.10)
Imports: lme4, lmerTest, numDeriv
Suggests: knitr, rmarkdown
Published: 2021-01-14
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

Downloads:

Reference manual: mecor.pdf
Vignettes: mecor_mece
random_covme
standard_covme
Package source: mecor_0.9.0.tar.gz
Windows binaries: r-devel: mecor_0.9.0.zip, r-release: mecor_0.9.0.zip, r-oldrel: mecor_0.9.0.zip
macOS binaries: r-release: mecor_0.9.0.tgz, r-oldrel: mecor_0.9.0.tgz

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