vcov.PLNfit: Calculate Variance-Covariance Matrix for a fitted 'PLN()'...

In PLN-team/PLNmodels: Poisson Lognormal Models

Calculate Variance-Covariance Matrix for a fitted PLN() model object

Description

Returns the variance-covariance matrix of the main parameters of a fitted PLN() model object. The main parameters of the model correspond to

B

, as returned by coef.PLNfit(). The function can also be used to return the variance-covariance matrix of the residuals. The latter matrix can also be accessed via sigma.PLNfit()

Usage

## S3 method for class 'PLNfit'
vcov(object, type = c("main", "covariance"), ...)

Arguments

object	an R6 object with class PLNfit
type	type of parameter that should be extracted. Either "main" (default) for B or "covariance" for \Sigma
...	additional parameters for S3 compatibility. Not used

Value

A matrix of variance/covariance extracted from the PLNfit model. If type="main" and B is a matrix of size d * p, the result is a block-diagonal matrix with p (number of species) blocks of size d (number of covariates). if type="main", it is a symmetric matrix of size p. .

See Also

sigma.PLNfit(), coef.PLNfit(), standard_error.PLNfit()

Examples

data(trichoptera)
trichoptera <- prepare_data(trichoptera$Abundance, trichoptera$Covariate)
myPLN <- PLN(Abundance ~ 1 + offset(log(Offset)), data = trichoptera)
vcov(myPLN, type = "covariance") ## Sigma

PLN-team/PLNmodels documentation built on April 15, 2024, 9:01 a.m.