Generates a "regression table" to summarize the fitted
model, including coefficients along with their bootstrapped
standard errors and confidence intervals. If the fitted
model does not have a `boot.matrix`

element, the
output will contain `NA`

s for the standard errors, and
confidence intervals will not be displayed.

1 2 |

`object` |
a fitted model of class |

`level` |
width of the bootstrap confidence interval to compute for the model coefficients. |

`prop0` |
logical: whether to print the proportion of
bootstrap iterations in which each coefficient was
estimated as exactly 0. This may be informative but
should |

`...` |
other arguments, currently ignored. |

An object of class `"summary.polywog"`

whose elements
are the "regression table" (`coefficients`

) and
additional information from the original fitted model.

Brenton Kenkel and Curtis S. Signorino

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

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