Description Usage Arguments Value Examples
This is the Indicator variables and Adaptive Student’s t-distributions (IAt)
model discussed by Knürr, Läärä, and Sillanpää (2011).
Model Specification:
1 2 3 |
formula |
the model formula |
data |
a data frame. |
family |
one of "gaussian", "binomial", or "poisson". |
log_lik |
Should the log likelihood be monitored? The default is FALSE. |
iter |
How many post-warmup samples? Defaults to 5000. |
warmup |
How many warmup samples? Defaults to 5000. |
adapt |
How many adaptation steps? Defaults to 10000. |
chains |
How many chains? Defaults to 4. |
thin |
Thinning interval. Defaults to 2. |
method |
Defaults to "parallel". For an alternative parallel option, choose "rjparallel" or. Otherwise, "rjags" (single core run). |
cl |
Use parallel::makeCluster(# clusters) to specify clusters for the parallel methods. Defaults to two cores. |
... |
Other arguments to run.jags. |
A run.jags object
1 | IAt()
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