S4 class that organizes the various data inputs for the MARS model. MARSdata simply inherits the slots from 6 component classes:
Dmodel, Dstock, Dfishery, Dsurvey DCKMR, and Dtag, where the D- prefix denotes an object for model data.
Details
For convenience, most arrays and matrices have the associated dimensions in the variable name. For example, Cobs_ymfr represents
observed catch with the dimension following the underscore, following this template:
y | Year |
m | Season |
a | Age |
r | Region |
f | Fishery |
i | Index |
s | Stock |
Slots inherited from Dtag
tag_ymarrsArray. Number of tags that move between regions. Informs movement matrices of stocks between time steps.
tag_ymarsArray. Number of tags distributed among regions. Informs stock distribution (within time step).
tag_yyBoolean matrix that aggregates years for the tag data. Only used for the tag movement array
tag_ymarrs.tag_aaBoolean matrix that aggregates ages for the tag data.
tag_likeCharacter. Likelihood for the tagging data, either the vector of proportions by region of origin for
tag_ymarrs, or by region of stock distribution fortag_ymars. Seetypeargument oflike_comp()for optionstagN_ymarsArray. Sample size of the tag movement vectors if using the multinomial or Dirichlet-multinomial likelihoods.
tagN_ymasArray. Sample size of the tag distribution vectors if using the multinomial or Dirichlet-multinomial likelihoods.
tagtheta_sArray. Tag dispersion parameter (by stock) if using the Dirichlet-multinomial likelihoods. Default set to 1.
tagstdev_sArray. Tag standard deviation (by stock) if using the lognormal likelihood. Default set to 0.1.