Simulate coefficients from a GLM by making draws from the multivariate normal distribution

1 | ```
b_sim(obj, mu, Sigma, nsim = 1000)
``` |

`obj` |
a fitted model object. |

`mu` |
an optional vector giving the means of the variables. If |

`Sigma` |
an optional positive-definite symmetric matrix specifying the
covariance matrix of the variables. If |

`nsim` |
number of simulations to draw. |

A data frame of simulated coefficients from `obj`

.

1 2 3 4 5 6 7 8 9 10 11 12 13 |

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