Drawing inspiration from the augment() function in the broom package, the new functions hlm_resid(), hlm_influence(), and hlm_augment() append diagnostic information to a model’s data frame, allowing the analyst to easily work with and see how residuals and influence diagnostics relate to the original variables. In this update, HLMdiag focuses on usability in its functions. HLMdiag provides diagnostic tools targeting all aspects and levels of hierarchical linear models in a single package. Over the past 6 years, other packages have gradually implemented some of these procedures however, diagnosing a model still often requires multiple packages, each of which has its own syntax and quirks. When HLMdiag was created in 2014, it made diagnostic procedures available for HLMs that had not yet been implemented in statistical software. The package HLMdiag was created in order to provide a unified framework for analysts to diagnose hierarchical linear models (HLMs). HLMdiag: a diagnostic tool for hierarchical (multilevel) linear models
0 Comments
Leave a Reply. |