Hansjörg Neth

Previous versions of **FFTrees** used color to _distinguish between cues_ in plots. While it makes sense that plots also work in black-and-white (e.g., for scientific publications) and the subtle mix...

Bring back `dprime` as a legitimate goal parameter?

2

When creating FFTs, **FFTrees** determines cue thresholds and selects and combines cues based on the `goal.threshold`, `goal.chase` and `goal` parameters. Although this worked in an earlier version and `dprime` is...

Using `data` for providing new data (as df) in `print()` or `plot()` yields errors

1

In previous versions of **FFTrees**, it was possible to supply data frames as `data` when plotting (and perhaps printing) `FFTrees` objects. Thus, the `data` argument in `print()` and `plot()` was...

Dealing with missing values

2

It's an important milestone that the latest version allows for **missing values**. Nonetheless, some related issues remain: 1. How are missing values treated when **evaluating (individual) cue validities**? The current...

Defining scenarios by description vs. from data/cases (i.e., by experience)

1

## Idea **riskyr** currently assumes that scenarios are defined by 3 essential probabilities (typically `prev`, `sens`, and `spec` or `fart`, plus some population size `N`) or 4 essential frequencies (typically...

Pass frequencies (instead of probabilities) to objects

4

To define a riskyr object, we currently pass 3 essential probabilities (prev, sens, spec). However, we also have functions translating from probabilities into frequencies (and vice versa). Hence, why not...

Related to the issues of **visualizing uncertainty** and **representing changes**: - How can we express and depict _incomplete_ or _partial_ scenarios, in which some parameters are known, but others are...

Related to the issue of **visualizing uncertainty**, it would be desirable to visualize _changes_ in parameter values. For instance, if a condition's prevalence (`prev`) or a test's sensitivity (`sens`) changed...

As of now, only `plot_curve` has an option for expressing _uncertainty_ about parameter values (by setting the `uc` argument to a percentage value, resulting in ranges of uncertainty around a...

We know that providing 3 essential probabilities (prev, sens, spec) OR providing 4 essential frequencies (hi, mi, fa, cr) fully specify a scenario. However, which combination of (any) probabilities and...