When fitting any statistical model, there are many useful pieces of information that are simultaneously calculated and stored beyond coefficient estimates and general model fit statistics. Although there exist some generic functions to obtain model information and data, many package-specific modelling functions do not provide such methods to allow users to access such valuable information.
insight is an R-package that fills this important gap by providing a suite of functions to support almost any model (see a list of the many models supported below in the List of Supported Packages and Models section). The goal of insight, then, is to provide tools to provide easy, intuitive, and consistent access to information contained in model objects. These tools aid applied research in virtually any field who fit, diagnose, and present statistical models by streamlining access to every aspect of many model objects via consistent syntax and output.
References: Lüdecke et al. (2019) tools:::Rd_expr_doi("10.21105/joss.01412").
Maintainer: Daniel Lüdecke d.luedecke@uke.de (ORCID) (@strengejacke)
Authors:
Dominique Makowski dom.makowski@gmail.com (ORCID) (@Dom_Makowski) [contributor]
Indrajeet Patil patilindrajeet.science@gmail.com (ORCID) (@patilindrajeets) [contributor]
Philip Waggoner philip.waggoner@gmail.com (ORCID) [contributor]
Mattan S. Ben-Shachar matanshm@post.bgu.ac.il (ORCID) [contributor]
Brenton M. Wiernik brenton@wiernik.org (ORCID) (@bmwiernik) [contributor]
Vincent Arel-Bundock vincent.arel-bundock@umontreal.ca (ORCID) [contributor]
Etienne Bacher etienne.bacher@protonmail.com (ORCID) [contributor]
Other contributors:
Alex Hayes alexpghayes@gmail.com (ORCID) [reviewer]
Grant McDermott grantmcd@uoregon.edu (ORCID) [contributor]
Rémi Thériault remi.theriault@mail.mcgill.ca (ORCID) (@rempsyc) [contributor]
Alex Reinhart areinhar@stat.cmu.edu (ORCID) [contributor]
Useful links: