# mrpy.base.statsΒΆ

A module defining the TGGD distribution (as well as in log and ln space) in standard R style.

See the R package tggd for a similar implementation.

The distribution functions implemented here are described in detail in Murray, Robotham and Power, 2016.

Note

*Which distribution should I choose?* The log/ln versions in this module are intended to provide the correct
distribution when variates are drawn from a real-space TGGD, but there are priors on their uncertainty which
operate in log-space (eg. a log-normal distribution). The likelihood of a given set of parameters is incorrect
in such a case if the real-space version is used without an adjustment to the Jacobian.

Short answer: generally use `TGGD`

, but if your variates must form a proper PDF in *log-space*, use the
appropriate log-space version.

Classes

`TGGD` ([scale, a, b, xmin]) |
The Truncated Generalised Gamma Distribution. |

`TGGDln` ([scale, a, b, xmin]) |
The Truncated Generalised Gamma Distribution in ln space. |

`TGGDlog` ([scale, a, b, xmin]) |
The Truncated Generalised Gamma Distribution in log10 space. |