rxmc.likelihood_model.Likelihood#

class rxmc.likelihood_model.Likelihood[source]#

Bases: object

A functional of the pre-computed Mahalanobis statistics (d2, logdet, n).

Subclasses implement log_likelihood() and declare any parameters via params/n_params. The chi-squared statistic is likelihood-independent (always the Mahalanobis distance).

__init__()#

Methods

`__init__`()
`chi2`(d2, logdet, n, *like_params)
`log_likelihood`(d2, logdet, n, *like_params)

Attributes

`n_params`
`params`

params: tuple = ()#

n_params: int = 0#

log_likelihood(d2, logdet, n, *like_params)[source]#

chi2(d2, logdet, n, *like_params)[source]#