Given coefficient estimates from a set of simulations, `mse`

calculates
the mean squared error of the estimates average across all simulations.

1 | ```
mse(model_coefficients, beta0, threshold)
``` |

`model_coefficients` |
a vector or matrix of coefficient estimates. If a matrix, then the coefficients should vary by row and the simulations should vary by column. |

`beta0` |
a numeric vector containing the true coefficient values. |

`threshold` |
a scalar threshold below which coefficients should be set to zero. |

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