Estimates var/cov matrix of inflation factors (1/prob detection) using a non-parametric bootstrap. Called by function Sight.Est if Vm.boot = TRUE.

1 | ```
covtheta(total, srates, stratum, subunit, covars, betas, varbetas, nboots)
``` |

`total` |
Number of animals in each independently sighted group |

`srates` |
Plot sampling probability (associated with the independently observed animal groups) |

`stratum` |
Stratum identifiers (associated with the independently observed animal groups) |

`subunit` |
Plot ID (associated with the independently observed animal groups) |

`covars` |
Matrix of sightability covariates (associated with the independently observed animal groups) |

`betas` |
Logistic regression parameter estimates (from fitted sightability model) |

`varbetas` |
Estimated variance-covariance matrix for the logistic regression parameter estimates (from fitted sightability model) |

`nboots` |
Number of bootstrap resamples. |

`smat ` |
Estimated variance-covariance matrix for the inflation factors theta = (1/probability of detection). This is an n.animal x n.animal matrix. |

John Fieberg

`Sight.Est`

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

All documentation is copyright its authors; we didn't write any of that.