rcage.strategy-class: strategy class
In rtlemos/rcage: Fit an age structured model to fisheries data

strategy class

get.compute.alpha(): Selectivity function intercept
get.compute.aM(): Age at maturity (aM)
get.compute.aR(): Age at recruitment
get.compute.aS(aM, aU): Mean spawning age
get.compute.aU(): Species longevity
get.compute.C(): Catch data
get.compute.chi(): Log-catchability
get.compute.E(): Effort data
get.compute.eta(): Selectivity function slope
get.compute.G(nC, aM, nS, phi): Transition matrix
get.compute.h(): Initial system variance
get.compute.iniM(aR, aS, aU, phi, xi, chi): Initial mean of state vector
get.compute.l(r, v, nC): Log-likelihood
get.compute.nC(aU): Number of cohorts (nC)
get.compute.nS(aM, aU): Mean spawning age
get.compute.o(): Measurement error variance
get.compute.omega(): System error variance
get.compute.phi(): Elasticity
get.compute.r(t, v, G, C, E, U, s, nC, iniM, o, chi, rho, xi): System mean vectors
get.compute.rho(): Log-carrying capacity
get.compute.s(aU, eta, alpha): Selectivity function
get.compute.t(): Time
get.compute.theta(r, v, t, G): Log-abundance
get.compute.U(nC, aS, phi): System intercept vector
get.compute.v(t, h, o, nC, G, omega, C): System variance matrices
get.compute.xi(): Natural mortality rate