get_fitness: Compute fitness values
In TheoPannetier/comrad: R implementation of a Competitive Radiation model

get_fitness

R Documentation

Compute fitness values

Description

Fitness values are computed for each individual from their trait value, the fitness landscape defined by the carrying capacity parameters, and the trait values of all other individuals in the community.

Usage

get_fitness(
  traits_comm,
  growth_rate = default_growth_rate(),
  competition_sd = default_competition_sd(),
  trait_opt = default_trait_opt(),
  carrying_cap_opt = default_carrying_cap_opt(),
  carrying_cap_sd = default_carrying_cap_sd(),
  fitness_func = fitness_func_ricker
)

Arguments

`traits_comm`	numeric vector of variable length, the trait values of every individual in the community.
`growth_rate`	numeric `⁠>= 0⁠`, the baseline growth rate. Generations being discrete, high values will cause chaos.
`competition_sd`	numeric `⁠>= 0⁠`.Parameter `\sigma_{\alpha}` of the competition coefficient. Modulates the the strength of competition between two individuals given their distance in trait space.
`trait_opt`	numeric. The optimal trait value, `z_{opt}`. `get_carrying_cap(trait_opt) = carrying_cap_opt`.
`carrying_cap_opt`	numeric, value of the carrying capacity at `trait_opt`
`carrying_cap_sd`	numeric `⁠>= 0⁠`. Parameter `\sigma_K` of the carrying capacity. Modulates how fast the carrying capacity decays when moving away from the optimal trait value.
`fitness_func`	the name of the function used to compute fitness.