Description Usage Arguments Value Examples
This is similar to APC imputation as described on page 99 and Appendix 5 of REPORT TCCHINOOK (09)-2 (http://www.psc.org/download/35/chinook-technical-committee/2120/tcchinook09-2.pdf). The abundance from a year-stratum contributes to the mean proportion estimate if the year-stratum has catch >1000.
1 2 | calc_AAPC(data.df, data.catch, stratum.var = "fishery.index",
year.var = "return.year", value.var = "N.ty", catchmin = 0)
|
data.df |
A data frame. Typically output from |
data.catch |
A list with structure equivalent to the output from the
function |
stratum.var |
A string. The name of the stratum variable. Default is "fishery.index". |
year.var |
A string. The name of the year variable. Default is "return.year". |
value.var |
A string. The name of the data variable. Default is "N.ty". |
catchmin |
An integer of length one. The minimum catch criteria for inclusion of a stratum in the estimation. Strata below this value are set to NA and estimated by imputation. Default is 0 (i.e. no strata are reset). |
A list of four elements named: model,
imputation.results, annual.estimate, data.df
. The first, model
, is
a list of the linear regression results for each stratum (including the
data used in fit), the second, imputation.results
, is a data frame
of two columns. The first column usually has the same name as the
year.var
argument and the second is N.t
. The other data
frames represent the values calculated during intermediary steps. The time
series of proportions for year with complete strata can be found in
data.df.
1 2 3 4 5 |
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