pyrbit.mle_utils

Functions

`CI_asymptotical`
`compute_summary_statistics_estimation`
`confidence_ellipse`	estimated_covariance_matrix = numpy.linalg.inv(J)
`isPD`	Returns true when input is positive-definite, via Cholesky
`mle_sequence`
`nearestPD`	Find the nearest positive-definite matrix to input

Exceptions

Raised when the confidence ellipsis can not be computed properly.