fit {cystiSim} | R Documentation |
Fit cystiSim parameters
Description
This function simulates random cystiSim parameters, and return those scenarios that result in a baseline prevalence close to the specified target.
Usage
fit(n.sim, n.update, target, limit,
man, pig, ph2m, pl2m, m2p, e2p, age.coef = c(0, 0),
slaughter = slaughter_nbinom,
slaughter.args = list(min = 6, max = 36, size = 0.70, mu = 80))
Arguments
n.sim |
Desired number of retained scenarios. |
n.update |
Number of updates of the baseline model. |
target |
Named list of target prevalences for |
limit |
Maximum tolerated deviance. |
man |
Human population dataframe. |
pig |
Pig population dataframe. |
ph2m |
Pig (Heavy infection) to Man transmission probability. |
pl2m |
Pig (Light infection) to Man transmission probability. |
m2p |
Man to Pig transmission probability. |
e2p |
Environment to Pig transmission probability. |
age.coef |
Optional intercept and slope for the association between age and taeniosis. |
slaughter |
Function that defines the slaughter probability of pigs. |
slaughter.args |
Arguments to be passed to the slaughter function. |
Details
The abbreviations used:
ht
....Human Taeniosis prevalencepc
....Porcine Cysticercosis prevalencepi
....Pig Intensity proportion (i.e., proportion heavily infection pigs)
Note
For more details and examples, please visit the cystiSim Wiki pages on https://github.com/brechtdv/cystiSim/wiki.