jags_model_poisson: Define JAGS model for a Poisson Regression
In jdtrat/mickjaggr: Easily Roll Through Bayesian Regressions with 'JAGS'
Description
Usage
Arguments
Value
Examples
Description
Define JAGS model for a Poisson Regression
Usage
1
jags_model_poisson(jags_data, num_chains, checks = NULL, ...)
Arguments
jags_data
The output of jags_data_prep
num_chains
How many chains for the MCMC.
checks
Functions to perform posterior predictive checks with
...
Additional arguments for jags.model
Value
JAGS model object
Examples
1
# coming soon
jdtrat/mickjaggr documentation built on Dec. 20, 2021, 10:06 p.m.
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Description Usage Arguments Value Examples
Description
Define JAGS model for a Poisson Regression
Usage
1 | jags_model_poisson(jags_data, num_chains, checks = NULL, ...)
|
Arguments
jags_data |
The output of |
num_chains |
How many chains for the MCMC. |
checks |
Functions to perform posterior predictive checks with |
... |
Additional arguments for jags.model |
Value
JAGS model object
Examples
1 | # coming soon
|
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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