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Background: The use of mixed effect models with a specific functional formsuch as the Sigmoidal Mixed Model and the Piecewise Mixed Model (or ChangepointMixed Model) with abrupt or smooth random change allows the interpretation ofthe defined parameters to understand longitudinal trajectories. Currently,there are no interface R packages that can easily fit the Sigmoidal Mixed Modelallowing the inclusion of covariates or incorporating recent developments tofit the Piecewise Mixed Model with random change. Results: To facilitate themodeling of the Sigmoidal Mixed Model, and Piecewise Mixed Model with abrupt orsmooth random change, we have created an R package called nlive. All neededpieces such as functions, covariance matrices, and initials generation wereprogrammed. The package was implemented with recent developments such as thepolynomial smooth transition of the piecewise mixed model with improvedproperties over Bacon-Watts, and the stochastic approximationexpectation-maximization (SAEM) for efficient estimation. It was designed tohelp interpretation of the output by providing features such as annotatedoutput, warnings, and graphs. Functionality, including time and convergence,was tested using simulations. We provided a data example to illustrate thepackage use and output features and interpretation. The package implemented inthe R software is available from the Comprehensive R Archive Network (CRAN) athttps://CRAN.R-project.org/package=nlive. Conclusions: The nlive package for Rfits the Sigmoidal Mixed Model and the Piecewise Mixed: abrupt and smooth. Thenlive allows fitting these models with only five mandatory arguments that areintuitive enough to the less sophisticated users.

nlive: an R Package to facilitate the application of the sigmoidal and random changepoint mixed models