class mrpy.extra.analytic_model.IdealAnalytic(logHsd=None, alphad=None, betad=None, lnAd=None, **kwargs)


__init__([logHsd, alphad, betad, lnAd]) Subclass of SampleLike, defining the expected likelihood and covariance for a sample of variates drawn directly from an MRP distribution.
dndlog10m([log]) Return the MRP in log10 space at `m’.
dndm([log]) Return the MRP at m.
ngtm([log]) The number density greater than mmin.
rho_gtm([log]) The mass-weighted integral of the MRP, in reverse (ie.