biostudies-literatureOliveira TPCoordination for the Improvement of Higher Education PersonnelScience Foundation IrelandNational Council of Technological and Scientific DevelopmentEuropean Regional Development Funde9850https://www.ebi.ac.uk/biostudies/studies/S-EPMC7502249biostudies-literatureUnknown8<h4>Background and objective</h4>Observational studies and experiments in medicine, pharmacology and agronomy are often concerned with assessing whether different methods/raters produce similar values over the time when measuring a quantitative variable. This article aims to describe the statistical package lcc, for are, that can be used to estimate the extent of agreement between two (or more) methods over the time, and illustrate the developed methodology using three real examples.<h4>Methods</h4>The longitudinal concordance correlation, longitudinal Pearson correlation, and longitudinal accuracy functions can be estimated based on fixed effects and variance components of the mixed-effects regression model. Inference is made through bootstrap confidence intervals and diagnostic can be doPeerJlcc: an R package to estimate the concordance correlation, Pearson correlation and accuracy over time.PMC7502249SFI/12/RC/2289Hinde JZocchi SSMoral RADemetrio CGBOliveira TPfalselcc: an R package to estimate the concordance correlation, Pearson correlation and accuracy over time.<h4>Background and objective</h4>Observational studies and experiments in medicine, pharmacology and agronomy are often concerned with assessing whether different methods/raters produce similar values over the time when measuring a quantitative variable. This article aims to describe the statistical package lcc, for are, that can be used to estimate the extent of agreement between two (or more) methods over the time, and illustrate the developed methodology using three real examples.<h4>Methods</h4>The longitudinal concordance correlation, longitudinal Pearson correlation, and longitudinal accuracy functions can be estimated based on fixed effects and variance components of the mixed-effects regression model. Inference is made through bootstrap confidence intervals and diagnostic can be do2020-01-01T00:00:00Z20202025-04-04T22:09:28.949Z2020-11-20T08:57:37ZS-EPMC75022493299508110.7717/peerj.9850