At present, the input data frame makes it difficult to perform modelling, and it's too large to include in outputs.
The goals of this issue are to:
Enable modelling of the raw data
Decrease the size of the input object in the output of fits
Allow for interpolation of different extents
When it comes to modelling, there should be the possibility of a few different things:
Certain models can be included in the package, but the diversity is nearly infinite
fit parameters (for canned models), fit objects (for user-models) and fitted values (for externally fitted data)
Weights should be possible to be added too.
Considering having a blooddata object, as well as an input object, which makes it easier to keep existing functions. But the idea is to include the blooddata object in the input and output of kinetic models, and to interpolate it within. Or perhaps allow user input of input objects too just in case there's an edge case which makes it more convenient (consider).
mathesong
commented
5 years ago
At present, the input data frame makes it difficult to perform modelling, and it's too large to include in outputs.
The goals of this issue are to:
When it comes to modelling, there should be the possibility of a few different things:
Considering having a
blooddataobject, as well as aninputobject, which makes it easier to keep existing functions. But the idea is to include the blooddata object in the input and output of kinetic models, and to interpolate it within. Or perhaps allow user input ofinputobjects too just in case there's an edge case which makes it more convenient (consider).