Description Usage Arguments Details Author(s)
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 |
Test case...
Rich FitzJohn
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