R: Create Simple Predictive Models on Bayesian Belief Networks

# Create Simple Predictive Models on Bayesian Belief Networks

## Documentation for package ‘bbnet’ version 1.2.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

bbn.network.diagram | Create Network Diagram from Bayesian Belief Network Data
bbn.predict | Bayesian Belief Network Prediction
bbn.sensitivity | Sensitivity Analysis for Bayesian Belief Network Models
bbn.timeseries | Time Series Prediction with Bayesian Belief Network
bbn.visualise | Visualise Bayesian Belief Network Time Series Predictions
combined | Combined Treatment Data
dogwhelk | Dogwhelk Removal Data
isEmpty | Check if an Object is Empty
MPANetwork | Simple model of MPA, ecological components and management
multiplot | Multiplot function
my_BBN | Rocky Shore simple food web data
my_network | Rocky Shore complex food web data
NoPotting | Dataset represents banning potting (for crabs / lobsters etc) in a Marine Protected Area Data presents insights into how management measures may affect ecological communities in MPAs
NoTake | Dataset represents banning all fishing in a Marine Protected Area
winkle | Winkle Addition Data