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__glm__ estimates [generalized linear models](https://en.wikipedia.org/wiki/Generalized_linear_model) (GLMs) in Go.
See the [examples](http://github.com/kshedden/statmodel/tree/master/glm/examples)
directory for examples. This package can be used to produce results such as
[this](http://github.com/kshedden/statmodel/tree/master/glm/examples/nhanes/nhanes.md).
Supported features
------------------
* Estimation via IRLS and [gonum](http://github.com/gonum) optimizers
* Supports many GLM families, links and variance functions
* Supports estimation for case-weighted datasets
* Regularized (ridge/LASSO/elastic net) estimation
* Offsets
* Unit tests covering all families with their default links and
variance functions, and some of the more common non-canonical links
Missing features
----------------
* Performance assessments
* Model diagnostics
* Marginalization
* Missing data handling
* GEE
* Inference for survey data
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