# function for species richness estimation

### Description

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

### Usage

1 |

### Arguments

`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. |

### Value

`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. |

### Note

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.

### Author(s)

Amy Willis

### References

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

### See Also

`breakaway`

; `apples`

; `wlrm_untransformed`

### Examples

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