R: Component-wise standard errors of Theta

standard_error {PLNmodels}

R Documentation

Component-wise standard errors of Theta

Description

Extracts univariate standard errors for the estimated coefficient of Theta. Standard errors are computed from the (approximate) Fisher information matrix. See fisher.PLNfit() for more details on the approximations.

Usage

standard_error(object, type)

## S3 method for class 'PLNfit'
standard_error(object, type = c("wald", "louis"))

Arguments

`object`	an R6 object with class PLNfit
`type`	Either `Wald` (default) or `Louis`. Approximation scheme used to compute the Fisher information matrix

Value

A p * d positive matrix (same size as Θ) with standard errors for the coefficients of Θ

Methods (by class)

PLNfit: Component-wise standard errors of Theta in PLNfit

Examples

data(trichoptera)
trichoptera <- prepare_data(trichoptera$Abundance, trichoptera$Covariate)
myPLN <- PLN(Abundance ~ 1 + offset(log(Offset)), data = trichoptera)
standard_error(myPLN, "wald")

[Package PLNmodels version 0.11.4 Index]