Kristian Agasøster Haaga
Kristian Agasøster Haaga
Just keeping track of interpolation methods. ## Interpolation on regular grids The following interpolations are compatible with`RegularGrid`. - [x] Linear - [ ] Spline - [ ] Drifted random walk....
It should be possible to impose transition-wise seqential resampling constraints when resampling datasets. In some cases, there might be physical constraints not only on the indices of a dataset but...
As suggested in #24, it would be nice for the user to plug in various bootstrapping resampling methods. This is not very interesting for resampling single uncertain values (except perhaps...
Currently, `UncertainValue(v)` where `v` is some vector will trigger kernel density estimation of the distribution of `v`. It would be nice to be able to differentiate between a simple population...
If a common resampling interface for the stats ecosystem is implemented (suggested in #24), the resampling methods in `UncertainData` should be able to take a first argument that is a...
Not sure what is the best way to do this. Needs more thinking. This will also affect/solve #2 (sorting).
Error bars are currently controlled by a two-element vector giving the quantiles to be plotted. We should keep this option, but the user should also be able to use the...
Some furnishing distributions also return integers, so we shouldn't hard-code the element type of uncertain values.
This is just a matter of adding an additional field to the values. Define operations between values of the same units.
It should be possible to apply multiple sampling constraints to an uncertain value. A possible way of doing this is to just provide a vector of sampling constraints and apply...