Mecor: An R package for measurement error correction in linear regression models with a continuous outcome

• The R package mecor accommodates measurement error correction in linear regression models with a continuous outcome. implements by means of calibration, maximum likelihood estimation and method moments. methods for four different validation data structures: internal, replicates, calibration external data. When no additional is available, framework conducting sensitivity analyses provided. Measurement covariate or the outcome common, but often ignored, even though can lead to substantial bias estimated covariate-outcome association. While several texts on are these remain seldomly applied. To improve use methodology, we developed , an that requires information about model its parameters. This be obtained from types studies, used estimate parameters model: internal study, replicates study study. In implemented correct analyses. Additionally, moments Variance corrected estimators provided closed form using bootstrap.