Differences between the BayesiaLab's Standard and Professional versions

Features	Standard Edition	Professional Edition
Inference
Exact Inference with Junction Tree	X	X
Approximate Inference with Importance Sampling	X	X
Interactive inference based on a file of observations	X	X
Interactive Bayesian updating based on a file of observations	X	X
Adaptive Questionnaire with respect to a target variable	X	X
Adaptive Questionnaire with respect to a target modality	X	X
Batch Labeling of the target variable	-	X
Batch Inference of the Not Observable variables	-	X
Batch Labeling of the target variable with the Most Probable Explanation (MPE)	-	X
Batch Inference of the Not Observable variables with the MPE	-	X
Batch Joint Probability	-	X
Batch Likelihood	-	X
Markov Blanket exportation
SAS Macro	-	Available on subscription only
JavaScript	-	Available on subscription only
PHP	-	Available on subscription only
Data
Data generation with MCMC	-	X
JDBC/ODBC connection	-	X
Database saving	-	X
Missing Value Imputation	-	X
Weights	X	X
Stratification	-	X
Data Type (learning/test)	X	X
Dictionaries
Comments	-	X
Colour categories	-	X
Classes	-	X
Images	-	X
Observation cost	-	X
Temporal indices	-	X
State values	-	X
State names	-	X
Node renaming	-	X
State renaming	-	X
Dictionary Exportation	-	X
Discretization of continuous variables
Manual based on the repartition function	X	X
Equal distances	X	X
Equal frequencies	X	X
K-Means	X	X
Decision tree	-	X
Aggregation of discrete modalities
Manual	X	X
Manual based on the correlation with a target variable	X	X
Semi-Automatic wrt the correlation with a target modality	X	X
Decision tree based on the correlation with a target modality	-	X
Missing values processing
Filtering	X	X
Replacement	X	X
Inference	X	X
Association discovery
Maximum Weight Spanning Tree	X	X
EQ	-	X
SopLEQ	-	X
Taboo Search	X	X
Taboo Order	-	X
Target node Characterization
Naïve	X	X
Augmented Naïve	X	X
Tree Augmented Naïve	X	X
Sons & Spouses	-	X
Markov Blanket	-	X
Augmented Markov Blanket	-	X
Minimal Augmented Markov Blanket	-	X
Semi-Supervised Learning	-	X
Clustering
Variable clustering	-	X
Data clustering	-	X
Multiple clustering	-	X
Targeted Evaluation
Multiple thresholds	-	X
Global Precision	X	X
Confusion Matrix	X	X
Lift chart	-	X
Gain chart	-	X
ROC curve	-	X
Global Evaluation
Log-Likelihood	X	X
Automatic layout algorithms
Symmetric	X	X
Dynamic	X	X
Genetic	-	X
Mutual Information	-	X
Random	X	X
Graphical Network analysis
Arc Force	X	X
Pearson’s Correlation	X	X
Node Force	X	X
Correlation with the Target node	X	X
Correlation with the Target state	X	X
Influence paths	X	X
Causal analysis (essential graphs)	X	X
Target modality Optimization	X	X
Target node Sensitivity analysis	X	X
Parameters Sensitivity analysis	X	X
Most Probable Explanation	X	X
Neighborhood analysis	X	X
Mosaic analysis	X	X
HTML Analysis Report
Network	X	X
Relationships analysis	X	X
Correlations with the Target Node	X	X
Target Dynamic Profile	X	X
Total Effects on Target	X	X
Evidences analysis	X	X
Special nodes
Hidden	X	X
Decision	X	X
Utility	X	X
Constraint	X	X
Dynamic Bayesian networks
Dynamic Bayesian networks	X	X
Action policy learning
Static Bayesian networks	X	X
Dynamic Bayesian networks	X	X
Graphics
Histogram	X	X
Repartition function	X	X
Occurrence matrix with Khi2 test	X	X
2D Scatter points	-	X
3D Scatter points	-	X
Bubble chart	-	X
Multilingual
English	X	X
French	X	X
Japanese	X	X
Cross-Platform (Java technology)
Cross-Platform (Java technology)	X	X