setup_inputs: process inputs to run simulation
In jameshay218/vaxedemic: Optimal allocation of vaccination during a pandemic

process inputs to run simulation

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setup_inputs(simulation_flags, life_history_params, travel_params,
  seed_params, user_specified_cum_vax_pool_func, vax_production_params,
  user_specified_vax_alloc_func, vax_allocation_params)

`simulation_flags`	named vector (or list) with the logical elements "normaliseTravel" "seasonal" and "real_data"
`life_history_params`	named vector (or list) with the numeric elements "R0", "TR" (time to recovery) and "LP" (latent period)
`travel_params`	list of parameters relating to travel. This should have the following elements: 1) epsilon, which scales the off-diagonals of the travel matrix
`seed_params`	named vector (or list) of parameters to do with seeding the pandemic. contains the elements seedCountries: vector of country names in which to seed
`user_specified_cum_vax_pool_func`	function or character string of function to produce vaccine pool
`vax_production_params`	named vector (or list) with named elements matching the arguments of user_specified_cum_vax_pool_func
`user_specified_vax_alloc_func`	function or character string of function to allocate vaccines
`vax_allocation_params`	named vector (or list) with named elements matching the arguments of user_specified_vax_alloc_func
`time_params`	list of parameters to do with time steps in simulation.
`seasonality_params`	list of seasonality parameters. contains the elements tdelay (0 <= tdelay <= 364): shifts the seasonality function - changing this effectively changes the seed time. tdelay = 0 is seed at t = 0 in sinusoidal curve, roughly start of autumn in Northern hemisphere division: Average seasonality into this many blocks of time amp: amplitude of seasonality
`vax_params`	named vector (or list) with the numeric elements "efficacy" and "propn_vax0" (initial proportion of vaccinated individuals; assumed constant across location, age and risk groups)