augment_mcmc: Augment MCMC
In rje42/DAGtools: Tools for fitting and analysing DAGs via MCMC
augment_mcmc R Documentation
Augment MCMC
Description
Adds samples and causal effects to partition MCMC output
for Gaussian data.
Usage
augment_mcmc(object, dat, ..., verbose = TRUE, force = FALSE)
Arguments
object
(Gaussian) output of BiDAG MCMC
dat
data frame used in sampling
...
other arguments
verbose
logical indicating whether to show progress
force
logical - can this be used on previously augmented chains?
rje42/DAGtools documentation built on June 6, 2024, 3:13 a.m.
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| augment_mcmc | R Documentation |
Augment MCMC
Description
Adds samples and causal effects to partition MCMC output for Gaussian data.
Usage
augment_mcmc(object, dat, ..., verbose = TRUE, force = FALSE)
Arguments
object |
(Gaussian) output of BiDAG MCMC |
dat |
data frame used in sampling |
... |
other arguments |
verbose |
logical indicating whether to show progress |
force |
logical - can this be used on previously augmented chains? |
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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