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##

goodness

**perform a goodness of fit Monte-Carlo simulation**
Perform a Monte Carlo calculation of the goodness-of-fit.

**Syntax:** |
**goodness** |
`[<# of realizations>] [sim|nosim]` |

This command simulates `<# of realizations>` spectra based on the model and writes
out the percentage of these simulations with the fit statistic less than that for the data. If the
observed spectrum was produced by the model then this number should be around 50%. This
command only works if the sole source of variance in the data is counting statistics. The
`sim|nosim` switch determines whether each simulation will use parameter values drawn from a
Gaussian distribution centered on the best fit with sigma from the covariance matrix. The `sim`
switch turns on this option, `nosim` turns it off in which case all simulations are drawn from the
best-fit model. The default starting setting is `nosim`. The goodness
calculation may be sped up by setting the parallel command's
`goodness` option to run multiple processes.