It calculates asymmetric competition coefficients
asymmetric.competition.kernel(
trait.values,
trait.compet = "trait.b",
ac.type = c("Kisdi", "Nattrass"),
sigma.b = 0.03,
ac.C = 1,
ac.v = 1,
...
)
Dataframe of all traits
Name of trait related to resource use
Type of the function (see vignette("competition")
)
steepness of competition kernel
parameter influencing shape of the function (has to be positive)
parameter influencing shape of the function (has to be positive)
Any additional parameters
Depending on value of ac.type the convex-concave function from Kisdi (1999) or smooth function suggested by Nattrass et al (2012) are used.
For formulas and meaning of parameters see the vignette("competition")
Kisdi, E. (1999) Evolutionary Branching under Asymmetric Competition Journal of Theoretical Biology 197(2): 149-162. 10.1006/jtbi.1998.0864
Nattrass, S., Baigent, S., & Murrell, D. J. (2012) Quantifying the Likelihood of Co-existence for Communities with Asymmetric Competition. Bulletin of Mathematical Biology, 74(10): 2315<U+2013>2338. 10.1007/s11538-012-9755-8