# invertinfo

0th

Percentile

##### Compute a Covariance Matrix from a Fisher Information Matrix

Stable function for computing a covariance matrix from a given Fisher information matrix by inversion.

##### Usage
invertinfo(mat, silent=TRUE, stopOnError=FALSE)
##### Arguments
mat
a Fisher Information Matrix.
silent
logical value. If FALSE, errors in the computation of the inverse while using the Cholesky decomposition algorithm are printed. If TRUE, errors can be seen only in the value error_message.
stopOnError
logical value. If TRUE only an error message is printed in case of error.
##### Details

A Cholesky decomposition is used to obtain the covariance matrix. This can be done because the Fisher information matrix is symmetric and positive definite.

This function is meant to be a more stable alternative to the function solve, which does not take into account, that the matrix is symmetric and positive definite.

##### Value

A list containing the following components:
vcov
the covariance matrix.
error_message
possible error messages that occured when inverting the Fisher information matrix.

chol and chol2inv.

• invertinfo
##### Examples
library(Matrix)
invertinfo(Hilbert(5), stopOnError=TRUE)
invertinfo(Hilbert(100))
invertinfo(Hilbert(100), silent=FALSE)
## Not run: invertinfo(Hilbert(100), stopOnError=TRUE)

Documentation reproduced from package tscount, version 1.3.0, License: GPL-2 | GPL-3

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