init_sim: Initialize Simulation
In bstaton1/SimSR: Tools for Simulating Pacific Salmon Spawner-Recruit Dynamics

Handles setting up the dimensional variables and drawing random quantities for driving the operating model and observation.

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init_sim(nt = 42, a_min = 4, a_max = 7, U_msy, S_msy, U_SUM = 100,
  phi = 0.3, pi_grand = c(0.2, 0.4, 0.37, 0.03), min_S_cv = 0.1,
  max_S_cv = 0.2, min_C_cv = 0.1, max_C_cv = 0.2, x_ESS = 100)

`nt`	Numeric vector of length 1: the number of calendar years with observations to simulate
`a_min`	Numeric vector of length 1: youngest age at maturity
`a_max`	Numeric vector of length 1: oldest age at maturity
`U_msy`	Numeric vector storing U_msy for each stock to simulate
`S_msy`	Same as `S_msy`, except S_msy. Must be the same length as `U_msy`
`U_SUM`	Numeric vector of length 1: beta sample size of implementation error
`phi`	Numeric vector of length 1: the autocorrelation coefficient for recruitment residuals. Set to zero to turn off the AR(1) process
`pi_grand`	Average maturity schedule across all stocks and years. Must have the same length as suggested by the number of ages of maturity calculated from supplied arguments `a_min` and `a_max`. Will be scaled to sum to 1 if does not already.
`min_S_cv`	Numeric vector of length 1: smallest observation CV for any substocks's escapement.
`max_S_cv`	Numeric vector of length 1: largest observation CV for any substocks's escapement.
`min_C_cv`	Numeric vector of length 1: smallest observation CV for any year's total harvest.
`max_C_cv`	Numeric vector of length 1: largest observation CV for any year's total harvest.
`x_ESS`	Numeric vector of length 1: the effective sample size for scale sampling on stocks that have age data.