simMolt: simMolt
In LobsterScience/bio.lobster: Lobster Stock Assessment Tools for DFO Maritimes
simMolt R Documentation
simMolt
Description
Prediction of moulting based on day since last moult, size and can include temperature through a degree day metric
Usage
simMolt(p, gdd = T, continuous.recruitment = F)
Arguments
p
:parameter list containing (at a minimum) region, doy (day of year), temp (temperature at doy)
gdd
: growing degree day
continuous.recruitment
: T/F whether you want to add new recruits at startPop size at an annual time step
recruitment.vector
: Variable Recruitment vector of length p$nt/round(365/p$timestep)
Value
The predicted probability of moulting
Author(s)
Brad Hubley, Brad.Hubley@dfo-mpo.gc.ca
LobsterScience/bio.lobster documentation built on Feb. 14, 2025, 3:28 p.m.
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| simMolt | R Documentation |
simMolt
Description
Prediction of moulting based on day since last moult, size and can include temperature through a degree day metric
Usage
simMolt(p, gdd = T, continuous.recruitment = F)
Arguments
p |
:parameter list containing (at a minimum) region, doy (day of year), temp (temperature at doy) |
gdd |
: growing degree day |
continuous.recruitment |
: T/F whether you want to add new recruits at startPop size at an annual time step |
recruitment.vector |
: Variable Recruitment vector of length p$nt/round(365/p$timestep) |
Value
The predicted probability of moulting
Author(s)
Brad Hubley, Brad.Hubley@dfo-mpo.gc.ca
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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