solow-gee 0.7.1

Rust generalized estimating equations (GEE): Gaussian, Poisson, Binomial, Gamma families with exchangeable, autoregressive, and unstructured working correlations. Statsmodels GEE compatible.
Documentation 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31

# solow-gee

Generalized estimating equations (GEE) for clustered / longitudinal data.
Mean parameters are estimated by Fisher scoring on the estimating
equations under a *working* within-cluster correlation ([`CovStruct`]);
inference uses the cluster-robust sandwich covariance (with a model-based
"naive" covariance also exposed).  Supports the Gaussian, Poisson, and
Binomial families with Independence and Exchangeable working correlation.
Validated against an authoritative reference.

```
use ndarray::array;
use solow_gee::{CovStruct, Gee};
use solow_glm::Family;

let x = array![
    [1.0, 0.0], [1.0, 1.0], [1.0, 2.0],
    [1.0, 3.0], [1.0, 4.0], [1.0, 5.0],
];
let y = array![1.0, 2.0, 3.0, 5.0, 8.0, 13.0];
let groups = [0i64, 0, 1, 1, 2, 2];
let res = Gee::new(y, x, &groups, Family::Poisson, CovStruct::Exchangeable)
    .unwrap()
    .fit()
    .unwrap();
assert!(res.converged);
```

---

Part of **[Solow](https://github.com/benovamurat/solow)** — a complete statistical-modeling, econometrics & data-visualization toolkit for Rust. · [Docs](https://docs.rs/solow-gee) · License: BSD-3-Clause