make_kisdi_1999: Kisdi 1999
In traitecoevo/Revolve: Adaptive Dynamics toolkit for R

Model implementing "Evolutionary branching under asymmetric competition" by Kisdi, Journal of Theoretical Biology, 1999.

1 2	make_kisdi_1999(intrinsic_growth_type = "linear", c = 2, v = 1.2, k = 4, beta = 1, b = 1, a = 1, m = 0, s2 = 1, d = 3.5)

`intrinsic_growth_type`	String, indicating which type of intrinsic growth to use; can be "linear", "gaussian" or "convex" (or any contraction of these). Intrinsic growth is the population growth rate in the absence of competition (including self-competition). Units: inverse time
`c`	Death rate, to be scaled by competition function. Units: inverse time * inverse population
`v`	Positioning parameter for competition function
`k`	Trait scaling parameter for competition function. Units: inverse trait.
`beta`	Intercept of linear intrinsic growth function
`b`	Slope of linear intrinsic growth function (also used in convex intrinsic growth function)
`a`	Scaling factor for gaussian intrinsic growth function (also used in convex intrinsic growth function)
`m`	Mean of gaussian intrinsic growth function
`s2`	Variance of gaussian intrinsic growth function
`d`	Parameter of convex intrinsic growth function