Skip to main content
Link
Menu
Expand
(external link)
Document
Search
Copy
Copied
DAM Navigator
Home
About
Criteria
Outcome
Objective
Estimand
Validity
Data compatibility
Data type
Required TS length
Handles few samples
Handles huge datasets
Handles missing data
RS-data proven
Assumptions
Functional form
No unobserved confounders
No interference
Well-defined treatment
Common support
Causal Markov condition
Faithfulness
IDD
Model-specific
Model properties
Explicit process required
Exposure type
Number of variables
Handles lag effects
Propagates uncertainty
Parametric nature
Packages
Language
Usage
Methods
Counterfactual & future simulations
Method name
Experiments
Method name
Ecology-guided Modelling
Method name
Adjusted methods
Method name
Quasi-experiments
Method name
Synthetic controls
Causal ML
Method name
Causal discovery
Method name
Alternative paradigms
Method name
Independent detection
Method name
Versatile tools
Method name
Good practices
A primer on causal graphs
Causal paradigms
Page example
Gallery
Gallery example
DAM on GitHub
Criteria
Data compatibility
Data compatibility
In this second criterion category, users are invited to describe the data properties that they expect the suggest models to handle.
Such properties should match their datasets or plans for collection.
Table of contents
Data type
Required TS length
Handles few samples
Handles huge datasets
Handles missing data
RS-data proven