View source: R/PLNfit-S3methods.R

sigma.PLNfit | R Documentation |

Extract the variance-covariance matrix of the residuals, usually noted

`\Sigma`

in PLN models. This captures the correlation between the species in the latent space.

```
## S3 method for class 'PLNfit'
sigma(object, ...)
```

`object` |
an R6 object with class |

`...` |
additional parameters for S3 compatibility. Not used |

A semi definite positive matrix of size p, assuming there are p species in the model.

`coef.PLNfit()`

, `standard_error.PLNfit()`

and `vcov.PLNfit()`

for other ways to access

`\Sigma`

.

```
data(trichoptera)
trichoptera <- prepare_data(trichoptera$Abundance, trichoptera$Covariate)
myPLN <- PLN(Abundance ~ 1 + offset(log(Offset)), data = trichoptera)
sigma(myPLN) ## Sigma
```

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