simulation: Simulation
In ggcostoya/limon: Evolutionary Constraints among Thermal Performance Traits

Simulates the evolution of a population based on thermal conditions

1	simulation(pop_tpd, tseqs, spsp, rpsp, cmtx, mu, sdm, pmin, samples, error)

`pop_tpd`	The thermal-performance dataset (TPD) of the original population
`tseqs`	A dataset of temperature values spanning multiple generations in the form of the output of the sim_tseqs function. It's length determines the number of generations.
`spsp`	Survival probability scaling parameter. Equivalent to the probability of survival at Pmax. Corresponds to the "p" parameter of a binomial distribution of size 1.
`rpsp`	Reproduction probability scaling parameter. Equivalent to the probability of reproduction at Pmax. Corresponds to the "lambda" parameter of a poisson distribution.
`cmtx`	A genetic correlations matrix for the TPTs. This parameter is optional and CANNOT INCLUDE Pmin.
`sdm`	The percentage of the original TPT value that will act as the standard deviation of the normal distribution of mean = 0 from which the amount of change occuring on a mutating trait will be sampled.
`pmin`	The percentage of Pmax corresponding to Pmin.
`samples`	The number of samples to be generated for each offspring.
`error`	The error to be introduced into the offspring's TPD in units of standard deviation of a normal distribution with 0 as mean.