bayesvl-news | R Documentation |
This page documents major changes and updates in the development of the bayesvl package.
Updated many functions.
Added posterior predictive check (PPC) support.
Added WAIC estimation functions.
Added LOO 2.0 estimation functions.
Added model comparison functions.
Updated .Rd
documentation and other metadata.
Updated .Rd
documentation and other metadata.
Fixed bugs for CRAN submission.
Fixed error in single-node models.
Updated .Rd
documentation and other metadata.
Fixed alpha intercept in varying intercept models.
Fixed lower = 0
constraint for varying intercept models.
Renamed net2stan.r
to bayesvl2stan.r
.
Added WAIC calculation support.
Added arc templates.
Added model validation functions.
Added automatic generation of data list for Stan.
Added log-likelihood comparison function.
Supported node type Dummy
for temporary parameters.
Supported node type Trans
for transformed data.
Supported custom generated quantities
block.
Supported y_rep
and log_lik
output.
Updated README.md
.
Added more distribution templates.
Updated Stan code generator from network graph.
Updated README.md
.
Numerous documentation updates.
Added functions for Stan code generation.
Added distribution templates.
Updated README.md
.
Added bnPlot()
, bnScore()
, bnStrength()
to interface with bnlearn
.
Added utilities to convert between bayesvl and bnlearn structures.
Updated README.md
.
Added functions to add/remove nodes and arcs in the network graph.
Added network initialization function.
Implemented bayesvl
class.
First fully documented release.
Initial package description and metadata.
First public release.
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