Feature List

The state-of-the-art algorithms implemented in AgenaRisk allow you to model the following classes of problem:

• Simulation of statistical distributions for predictive inference
• Diagnostic inference for machine learning applications
• Hierarchical modelling as an alternative to Monte Carlo Markov Chains (MCMC)
• Construction of hybrid models containing discrete and continuous uncertain variables
• Mixture modelling of discrete and continuous distributions
• Representation of expert judgement using subjective probability
• Dynamic modelling of time-based or evolving systems (e.g. Markov analysis)
• Object-oriented modelling of complex systems involving multiple objects and interfaces

AgenaRisk has the following features:

• Risk Maps (Bayesian networks) for modelling causal relationships
• Point-and-click functionality for creating models quickly and easily
• Fully customisable appearance of nodes and edges (shape, colour, border, text)
• Grouping and alignment
• Copy and paste
• Zoom
• JPEG import and export facility
• Support for adding customisable labels and boxes
• Optional display of risk graphs on nodes
• Ability to hide nodes and edges
• Intuitive interface for Object-Oriented Bayesian Networks
• Comprehensive node typing system
• Pre-defined ranked nodes to simplify creation of certain types of complex risk model
• Numeric nodes for unprecedented accuracy
• Powerful editor and wizard for adding states quickly and easily
• Model import
• Probability Tables that allow you to quantify these relationships using either expressions or explicit probability values
• Multi-dimensional tables for editing probabilities directly
• Copy and paste
• Automatic normalisation of probabilities
• Powerful expression editor with wide range of pre-defined statistical and deterministic functions
• Support for expressions partitioned over parent state combinations
• Highly configurable Risk Graphs that display the results of running your models
• Support for bar graphs, line graphs, scatter plots and histograms
• Multiple data sets shown simultaneously to make comparison easy
• Fully customisable appearance
• Optional display of statistics on graphs (mean, median and percentiles)
• Summary panel showing statistics and actual state probabilities
• Support for cumulative plots
• Intelligent truncation and scaling to focus on interesting areas of data
• Different configurations for small and large data sets
• Support for discrete or continuous plots
• Flexible display of graphs (in a dedicated panel, in separate windows or on risk maps)
• Risk Tables for entering data quickly and efficiently as you would using a spreadsheet
• Fully configurable names, answers and descriptions of entries
• Support for creating new headings and reorganising tables
• Easy creation of user-friendly risk assessment applications
• Synchronisation of entries with nodes in risk map
• Colour-coded cells to show data values at a glance
• Display of multiple scenarios side-by-side for easy comparison
• Import and export of scenario data
• A Risk Explorer that allows you to build and view complex, nested models
• Intuitive view of nested models that can be expanded and collapsed
• Support for importing new models
• Support for Object-Oriented Bayesian Networks
• Accurate Simulation of a wide range of arithmetic functions and statistical distributions
  • Dynamic calculation of appropriate intervals
  • Fully configurable settings for achieving the right balance between performance and accuracy
  • Arithmetic functions:
    • Addition
    • Subtraction
    • Multiplication
    • Division
    • Power
    • Modulus
    • Logarithm
    • Natural Logarithm
    • Square Root
    • Modulus
    • Min
    • Max
    • Weighted Mean
    • Weighted Min
    • Weighted Max
    • Min-Max Mixture
    • Equals
    • Not Equals
    • Less Than
    • Less Than Or Equals
    • Greater Than
    • Greater Than Or Equals
    • NOT
    • AND
    • OR
    • XOR
    • NoisyAND
    • NoisyOR
  • Statistical distributions:
    • Beta
    • Binomial
    • Chisquare
    • Continuous Uniform
    • Exponential
    • Extreme Value
    • Gamma
    • Geometric
    • Hypergeometric
    • Integer Uniform
    • Logistic
    • Lognormal
    • Negative Binomial
    • Normal
    • Poisson
    • Student-t
    • Triangular
    • Truncated Normal
    • Weibull
• A large variety of Sample Models that cover different modelling problems
  • Aggregating Distributions
  • Asia
  • Batch Learning Model
  • Biased Coin Flip Experiment
  • Car Costs
  • Causal Risk Register
  • Constraint Satisfaction
  • Dependent Coin Flips
  • Diabetes Treatment
  • Diet Experiment
  • Fault Tree Analysis
  • Fire
  • Headache
  • Hypothesis Testing
  • Intensive Care Monitoring
  • KUUUB
  • Mildew
  • Mixing Product Failure Data
  • Monty Hall Dilemma
  • Mountain Pass
  • Naive Bayesian Classification
  • Operational Risk in Finance
  • Printer Fault Diagnosis
  • Reliability Estimation
  • Risk Control Self Assessment
  • Risk Drivers and Indicators
  • Safety
  • Simple Testing Process
  • Six Sigma Defect Containment
  • Six Sigma Testing and Rework
  • Statistical Distributions
  • Water Purification
  • Wet Grass