Simulate negative binomial data with a modskurt mean curve
Usage
mskt_sim_nb(
x,
n_per_x = 1,
H,
m,
s,
r = 0.5,
d = 0,
p = 1,
kap,
g0 = -Inf,
g1 = 0
)
Arguments
- x
vector of environmental gradient values
- n_per_x
number of y replicates to simulate for each x value
- H
height
- m
middle
- s
spread
- r
assymetry
- d
flatness
- p
persistence
- kap
negative binomial dispersion
- g0
constant rate of zero-inflation
- g1
decay of zero-inflation as mean increases
Value
data.frame with simulated mu, zi, and y for each x
