run_static: run_static
In crushing05/BayesCorrOcc: Fit Bayesian Correlated Occupancy Model
Description
Run single-season correlated detection model
Usage
1
2
run_static(sim_data, jagam.mod, nC = 3, nI = 25000, nB = 5000, nT = 10,
Parallel = TRUE)
Arguments
sim_data
Data object generated from sim_data_static()
jagam.mod
Model object from mgcv::jagam()
nC
Number of chains (default = 3)
nI
Number of interations (default = 25000)
nB
Number of adaption and burn-in iterations (default = 5000)
nT
Thinning rate (default = 10)
Parallel
Should chains be run in parallel (default = TRUE)
crushing05/BayesCorrOcc documentation built on May 9, 2019, 8:33 a.m.
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Description
Run single-season correlated detection model
Usage
1 2 | run_static(sim_data, jagam.mod, nC = 3, nI = 25000, nB = 5000, nT = 10,
Parallel = TRUE)
|
Arguments
sim_data |
Data object generated from sim_data_static() |
jagam.mod |
Model object from mgcv::jagam() |
nC |
Number of chains (default = 3) |
nI |
Number of interations (default = 25000) |
nB |
Number of adaption and burn-in iterations (default = 5000) |
nT |
Thinning rate (default = 10) |
Parallel |
Should chains be run in parallel (default = TRUE) |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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