Description Details Author(s) References See Also Examples
The R package for visually learning the graphical structures of Bayesian networks, and performing Hamiltonian MCMC with Stan through bvl_model2Stan
, bvl_modelFit
Package: | bayesvl |
Type: | Package |
Version: | 0.8.0 |
Date: | 13 May 2019 |
License: | GPL-3 |
Website: | Bayesvl |
Quan-Hoang Vuong, Viet-Phuong La
For documentation, case studies and worked examples, and other tutorial information visit the References section on our Github:
bayesvl-class
, bvl_modelFit
, bvl_model2Stan
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)
|
Loading required package: rstan
Loading required package: StanHeaders
Loading required package: ggplot2
rstan (Version 2.21.2, GitRev: 2e1f913d3ca3)
For execution on a local, multicore CPU with excess RAM we recommend calling
options(mc.cores = parallel::detectCores()).
To avoid recompilation of unchanged Stan programs, we recommend calling
rstan_options(auto_write = TRUE)
Warning message:
In file(con, "r") : cannot open file '/proc/stat': Permission denied
Model Info:
nodes: 4
arcs: 3
scores: NA
formula: Lie ~ a_Lie + b_B_Lie * B + b_C_Lie * C + b_T_Lie * T
Estimates:
model is not estimated.
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