Description Slots Methods References See Also Examples

This object contains an object of class `bayesvl`

, return by `bayesvl`

.

`call`

:Original function call that produced the fit

`nodes`

:The list of nodes in model

`arcs`

:The list of arcs in model

`pars`

:List of parameters

`stanfit`

:Object of class

`stanfit`

`rawdata`

:Observed data frame

`standata`

:Data used in sampling

`posterior`

:Coerce to a Data Frame of object of class

`stanfit`

`elapsed`

:Elapsed time of MCMC simulation

`show`

`signature(object = "bayesvl")`

: print the default summary for the model.`summary`

Displays the

`model`

slot.

For documentation, case studies and worked examples, and other tutorial information visit the References section on our Github:

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | ```
# Design the model in directed acyclic graph
model <- bayesvl()
# add observed data nodes to the model
model <- bvl_addNode(model, "Lie", "binom")
model <- bvl_addNode(model, "B", "binom")
model <- bvl_addNode(model, "C", "binom")
model <- bvl_addNode(model, "T", "binom")
# add path between nodes
model <- bvl_addArc(model, "B", "Lie", "slope")
model <- bvl_addArc(model, "C", "Lie", "slope")
model <- bvl_addArc(model, "T", "Lie", "slope")
summary(model)
``` |

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