calcRERbinomial.old: Calculate RER values from VRAP output (binomial method)

In MichaelFolkes/VRAP2: A Fork of the NMFS's VRAP Package for RER and populaton viability computations

Description

Calculate RER values from VRAP output (binomial method)

Usage

calcRERbinomial.old(vrap.output, prop.lower.tolerance = 0.05,
  prop.upper = 0.2)

Arguments

vrap.output	A list. Output from the lapply application on Main.
prop.lower.tolerance	A numeric vector. The proportion values to be added to the estimated proportion of years below LEL under zero ER. Default is 0.05
prop.upper	A numeric vector. The percent values to appraise frequency of years with escapement above the upper escapement threshold. Default is 0.20, which equates to the 80% requirement.

Value

A list comprising several data frames. The elemented named rer has the rer estimates. Other data frames include columns of mean and SD of the proportions, by target ER. These statistics should not be trusted as the frequency distributions of proportions, by targe ER, is never normal. (This was discovered after the fact.) This can be confirmed by creating a historgram, by target ER of either data.quantile.raw$proportion.lower or data.quantile.raw$proportion.upper.

MichaelFolkes/VRAP2 documentation built on June 9, 2019, 6:27 p.m.