GLIM

GLIM, short for Generalized Linear Interactive Modelling, is a statistical software package historically used for fitting generalized linear models and related models. It provided an interactive environment in which researchers could specify a model, fit it to data, and examine diagnostics within a single workflow. The package implemented the generalized linear model framework, supporting common distributions and link functions, and included facilities for model comparison, hypothesis testing, and residual analysis.

GLIM was widely adopted in biostatistics, epidemiology, and social sciences for its balance of analytical power and ease of use. It ran on a range of computer platforms and featured a straightforward command-based interface and modular design. Its emphasis on interactive modelling helped popularize GLMs and influenced later software through its approach to model specification and diagnostics.

In the subsequent rise of modern statistical environments—such as R, SAS, and Stata—GLIM was gradually superseded, though it remains noted in historical discussions of generalized linear modelling. Its legacy lies in early democratization of GLMs and in shaping how researchers approached model fitting, diagnostics, and iterative analysis in an interactive setting.