How to evaluate the robustness of a model

[mpascariu]

Everybody is talking about robustness but nobody is checking/measuring/writing/publishing about it. What it is this animal called "robustness"?

The package contains an attempted to measure it in the same way the accuracy is assessed. We understand that a model is robust if the estimates and generated results are fairly stable following gradual changes in input data or model specification.

What if the results are changing to little following a reasonable change in the input data? Is this model more robust than a model that changes in a "proportional" manner? What if the changes are to large? When is "to large" to large?

We are interested to learn about the best practices and implement them here. Help.