jags_check_pp: Perform Posterior Predictive Checks
In jdtrat/mickjaggr: Easily Roll Through Bayesian Regressions with 'JAGS'
Description
Usage
Arguments
Value
Examples
Description
Perform Posterior Predictive Checks
Usage
1
jags_check_pp(.recipe, .model, checks, by_iter = FALSE)
Arguments
.recipe
A recipe object
.model
The output of jags_model_run
checks
A character string (or vector) of statistical summaries such as c("min", "max", "mean", "sd").
all_iters
A logical indicating whether the statistic summaries should be displayed per iteration. FALSE by default.
Value
Returns a Bayesian P Value for each posterior predictive check.
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
Perform Posterior Predictive Checks
Usage
1 | jags_check_pp(.recipe, .model, checks, by_iter = FALSE)
|
Arguments
.recipe |
A recipe object |
.model |
The output of |
checks |
A character string (or vector) of statistical summaries such as c("min", "max", "mean", "sd"). |
all_iters |
A logical indicating whether the statistic summaries should be displayed per iteration. FALSE by default. |
Value
Returns a Bayesian P Value for each posterior predictive check.
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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