getResiduals: Gather stock-recruit residuals
In TESA-workshops/TESAsamSim: Closed-loop salmon simulator for 2021 TESA workshop
Description
Usage
Arguments
Value
Examples
Description
This function fits simple stock-recruit models (Ricker or Larkin) to
generate model residuals that can be merged with simulated recruitment
deviations. Useful for posterior predictive comparisons and generating
output figures if model residuals are a variable of interest.
Usage
1
getResiduals(recList, modelVec)
Arguments
recList
A list of length nCU with each element a dataframe with nrow
= to length of the maximum observed timeseries. Each dataframe should
contain the following columns: an estimate of total recruitment (by brood
year), spawner abundance, and brood year. Lagged spawner abundances are
automatically generated by the function.
modelVec
A character vector of model names with length nCU
(ricker or larkin).
Value
A numeric matrix of model residuals with nrow = nrow(input data)
and ncol = nCU.
Examples
1
# EXAMPLE DATA NEEDS TO BE GENERATED
TESA-workshops/TESAsamSim documentation built on Feb. 6, 2021, 12:25 a.m.
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Description Usage Arguments Value Examples
Description
This function fits simple stock-recruit models (Ricker or Larkin) to generate model residuals that can be merged with simulated recruitment deviations. Useful for posterior predictive comparisons and generating output figures if model residuals are a variable of interest.
Usage
1 | getResiduals(recList, modelVec)
|
Arguments
recList |
A list of length nCU with each element a dataframe with nrow = to length of the maximum observed timeseries. Each dataframe should contain the following columns: an estimate of total recruitment (by brood year), spawner abundance, and brood year. Lagged spawner abundances are automatically generated by the function. |
modelVec |
A character vector of model names with length nCU
( |
Value
A numeric matrix of model residuals with nrow = nrow(input data) and ncol = nCU.
Examples
1 | # EXAMPLE DATA NEEDS TO BE GENERATED
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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