remainedR

remainedR is a statistical software package designed for the R programming language. It is primarily used for the analysis of longitudinal and repeated measures data. The package provides a range of functions for fitting and comparing mixed-effects models, which are particularly useful for handling data where observations are correlated within subjects or groups.

The remainedR package was developed by the R Core Team and is part of the CRAN (Comprehensive R Archive Network) repository. It is open-source and freely available for use, making it accessible to a wide range of researchers and data analysts. The package includes functions for model fitting, prediction, and visualization, as well as tools for model comparison and selection.

One of the key features of remainedR is its ability to handle complex data structures, including nested and crossed random effects. This makes it well-suited for a variety of applications, such as clinical trials, epidemiological studies, and social science research. The package also supports a wide range of response variables, including continuous, binary, and count data.

In addition to its modeling capabilities, remainedR includes functions for simulating data and performing sensitivity analyses. This allows researchers to assess the robustness of their results and explore the impact of different assumptions and model specifications. The package also includes tools for diagnosing model fit and detecting outliers, which can help researchers identify potential issues with their data or models.

Overall, remainedR is a powerful and flexible tool for the analysis of longitudinal and repeated measures data. Its range of features and capabilities make it a valuable resource for researchers and data analysts working in a variety of fields.