Brook Milligan skrev:

This note is to announce the release of a library for handling probability and likelihood quantities, together with their logarithms, in a consistent and (when desired) transparent manner.

If a native floating point type is used for probabilities and likelihoods,

You should probably define those terms in the documentation.

The purpose of this library is to encapsulate both probability and likelihood quantities within an appropriate set of types, while simultaneously achieving the following design goals.

- Incur no runtime cost. That is, all type manipulations should be performed at compile time.

That does not strike me as quite the same.

- Ensure that the layout of arrays and structures of probability and likelihood quantities is identical to the corresponding layout for the underlying value type.

Good. But It still needs to be testet if the performance equals that of normal arrays or matrices of floats.

Thanks for your input. I hope this library is close to Boost standards and can be improved to the point of being a worthwhile inclusion within the set of libraries.

It seems like a good start. I can only say, that if the runtime performance cost is zero, then I would find the library very interesting, and I would not hessitate to use it in my work on Bayesian Networks. best regards -Thorsten