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Dev

See merge request bbatardiere/pyplnmodels!54
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BATARDIERE Bastien committed Aug 9, 2024
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<!-- > comprehensive introduction. -->
## Getting started
A notebook to get started can be found
[HERE](https://github.com/PLN-team/pyPLNmodels/blob/main/Getting_started.ipynb).
[A notebook to get started can be found
here](https://github.com/PLN-team/pyPLNmodels/blob/main/Getting_started.ipynb).
If you need just a quick view of the package, see the quickstart next.

## 🛠 Installation
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It is assumed that each individual $\mathbf Y_i$, that is the $i^{\text{th}}$
row of $\mathbf Y$, is independent from the others and follows a Poisson
lognormal distribution:

$$\mathbf Y_{i}\sim \mathcal P(\exp(\mathbf Z_{i})), \quad \mathbf Z_i \sim
\mathcal N(\mathbf o_i + \mathbf B ^{\top} \mathbf x_i, \mathbf \Sigma),$$

where $\mathbf x_i \in \mathbb R^d$ (`exog`) and $\mathbf o_i \in \mathbb R^p$ (`offsets`) are
user-specified covariates and offsets. The matrix $\mathbf B$ is a $d\times p$
matrix of regression coefficients and $\mathbf \Sigma$ is a $p\times p$
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