This function implements the transformed version of the species richness estimation procedure outlined in Rocchetti, Bunge and Bohning (2011).

1 |

`data` |
The sample frequency count table for the population of interest. See breakaway for details. |

`print` |
Logical: whether the results should be printed to screen. |

`plot` |
Logical: whether the data and model fit should be plotted. |

`answers` |
Logical: whether the function should return an argument. |

`cutoff` |
The maximum frequency count to use for prediction. Defaults to maximal. |

`name` |
The “name” of the model. |

`para` |
Estimated model parameters and standard errors. |

`est` |
The estimate of total (observed plus unobserved) diversity. |

`seest` |
The standard error in the diversity estimate. |

`full` |
The chosen linear model for frequency ratios. |

`ci` |
An asymmetric 95% confidence interval for diversity. |

While robust to many different structures, model is almost always misspecified. The result is usually implausible diversity estimates with artificially low standard errors. Extreme caution is advised.

Amy Willis

Rocchetti, I., Bunge, J. and Bohning, D. (2011). Population size estimation based upon ratios of recapture probabilities. *Annals of Applied Statistics*, **5**.

`breakaway`

; `apples`

; `wlrm_untransformed`

1 2 3 | ```
wlrm_transformed(apples)
wlrm_transformed(apples,plot=FALSE,print=FALSE,answers=TRUE)
``` |

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