wlrm_untransformed: function for species richness estimation
Description
This function implements the untransformed version of the species richness estimation procedure outlined in Rocchetti, Bunge and Bohning (2011).Usage
wlrm_untransformed(data, print=TRUE, plot=FALSE, answers=FALSE, cutoff=NA)
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.
References
Rocchetti, I., Bunge, J. and Bohning, D. (2011). Population size estimation based upon ratios of recapture probabilities. Annals of Applied Statistics, 5.