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mecor  

Measurement Error Correction in Linear Models with a Continuous Outcome
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("mecor", "1.0.0")



Attach the package and use:
library("mecor")
Maintained by
Linda Nab
[Scholar Profile | Author Map]
First Published: 2021-01-14
Latest Update: 2021-12-01
Description:
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) and maximum likelihood estimation by Bartlett JW, Stavola DBL & Frost C (2009) . 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) . Standard error estimation of the corrected estimators is implemented by means of the Delta method by Rosner B, Spiegelman D & Willett WC (1990) and Rosner B, Spiegelman D & Willett WC (1992) , 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).
How to cite:
Linda Nab (2021). mecor: Measurement Error Correction in Linear Models with a Continuous Outcome. R package version 1.0.0, https://cran.r-project.org/web/packages/mecor. Accessed 03 May. 2025.
Previous versions and publish date:
0.9.0 (2021-01-14 10:20)
Other packages that cited mecor R package
View mecor citation profile
Other R packages that mecor depends, imports, suggests or enhances
Complete documentation for mecor
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