JuliaStats/GLM.jl

Generalized linear models in Julia

What it is

GLM.jl is a Julia package whose stated purpose — in its own README title — is to provide "Linear and generalized linear models in Julia." In plain terms: it lets you fit statistical models that explain one outcome variable using one or more predictor variables.

  • Linear models are the classic approach: predict a number (e.g., house price) as a weighted sum of inputs (e.g., size, location), plus a flat offset.
  • Generalized linear models extend that idea to outcomes that aren't plain numbers — like yes/no answers, counts, or categories — by connecting the inputs to the outcome through a transformation. (The README does not detail which specific model families are supported beyond the title, so no further specifics are claimed here.)

Project origin

The full name is JuliaStats/GLM.jl, meaning it lives under the JuliaStats organization on GitHub — a community group that maintains statistical packages for Julia. The README itself does not list authors or history.

Documentation

The project publishes two documentation versions:

  • Stable documentation — the version meant for everyday use.
  • Dev (development) documentation — the latest in-progress version. Both are hosted on the JuliaStats GitHub Pages site. The README links to them but does not say what the docs contain beyond being documentation for this package.

Maintenance & quality signals

The README displays badge icons, which are standard indicators:

  • CI Status — shows whether the project's automated tests pass on the latest commit. A working badge implies tests are run continuously.
  • Coverage — shows the percentage of the codebase exercised by tests, measured via Codecov.
  • DOI — a persistent digital identifier (10.5281/zenodo.3376013) so researchers can cite a specific frozen version of the software in papers.

What the README does not tell you

The README is deliberately minimal: it contains only the title and status badges. It does not describe installation steps, usage examples, supported distributions, or API details. Any such information would live in the linked documentation, not in the README itself — and therefore is not included here.

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