simpleIBM: simpleIBM generalized version of IBM used for Kapur et al....
In mkapur/kaputils: Utilities for Stock Assessment Simulation and Data Analysis

simpleIBM generalized version of IBM used for Kapur et al. growth study (Submitted to Fisheries Research). Right now this has constant M, and is not set-up to intake fishing mortality (therefore there is no selectivity). The population is initialized at equilibrium.

simpleIBM(
  nboot = 50,
  simu_year = 100,
  burn_yr = 20,
  Inst_M = 0.2,
  L1 = 10,
  a1 = 1,
  L2 = 100,
  a2 = 15,
  VBGF_K = 0.25,
  lw_a = 2e-04,
  lw_b = 3,
  r_mat = 0.1,
  L50 = 44,
  growth_lognormal_SD = 0.015,
  steepBH = 0.9,
  R0 = 10
)

`nboot`	the number of unique simulations of length simu_year you'd like to generate
`simu_year`	number of years to conduct simulation
`Inst_M`	natural mortality (single value applied to all ages)
`L1`	start length
`a1`	start age
`L2`	terminal length
`a2`	terminal age
`VBGF_K`	K as in the von bertalanffy growth function
`lw_a`	coefficient of length-weight exponential equation
`lw_b`	exponent of length-weight exponential equation
`r_mat`	slope of maturity ogive
`L50`	length at 50 maturity
`steepBH`	Beverton-holt steepness
`burn_year`	can be zero; number of year's youd like to remove from the beginning of the simulation