Changelog for hasklepias

0.5.0

• Changes what was the Feature type into FeatureData. The Feature type becomes a container for FeatureData with a name and attributes.
• Adds the FeatureSpec type which contains FeatureDefinitions plus a name and attributes. The name and attributes are mapped directly into the resulting Feature when a FeatureSpec is evaluated, while the FeatureDefinition is evaluated into FeatureData. The evalEFFeature, evalFEFFeature, and evalFFFFeature are provided for evaluating a FeatureSpec according the corresponding FeatureDefinition.
• Adds additional functions to reexports.
• Adds witherable dependency to use a more general filter function.

0.4.4

• Adds the FFF option to FeatureDefinition to define (Feature f -> Feature e -> Feature d) along with corresponding defineFFF and applyFFF.
• Adds zipWith, id, and Integer to re-exports.

0.4.3

• Exports Feature constructor.
• Adds defineFEF2 function for creating a feature definition where the provided function returns a Feature d rather than just a d.
• Generalizes allPairs from type [a] -> [a] -> [(a, a)] to [a] -> [b] -> [(a, b)].
• Reexports a few functions and types from Data.Time.Calendar. Also reexports const from Data.Function.

0.4.2

• Updates interval-algebra to 0.8.0.

0.4.1

• Modifies the example in example/ExampleFeatures3 to use the pipe |> operator.
• Adds the hasAllConcepts function to the HasConcepts class.
• Adds a Reexports module with the goal to re-export everything one might need from other Haskell libraries to build a cohort.
• Removes a number of unneeded/unused functions from the Functions module.
• Adds the Safe language extension to modules where possible.

0.4.0

• Adds the FeatureDefinition to represent common patterns for building Features:

data FeatureDefinition e a d =
    EF  (Events a -> Feature d)
  | FEF (Feature e -> Events a -> Feature d)

• Provides an initial set of functions designed to make defining Features easier, namely defineEF and defineFEF. These functions construct FeatureDefinitions of using EF and FEF constructors, respectively. The example features in examples/ExampleFeatures1 demonstrate their use.
• Adds the allPairs function to form all pairs of elements of two lists.
• Adds the splitByConcepts to split a container of events into a pair such that first element contains events have any of the first argument's concepts, and similarly for the second element.
• Demonstrates how allPairs and splitByConcepts might be used in the examples/ExampleFeatures3 module.
• Adds a rudimentary ToJSON instance for Features so that data can be encoded and output from the software. This is pretty rough; e.g. encoding an Interval Int feature produces: "{\"end\":10,\"begin\":0}".
• Removes the Transformations module and transformToMeetingSequence function. The same functionality is available by using the formMeetingSequence function from interval-algebra. See examples/ExampleFeatures2 for the updated example.
• Adds the toConceptEventOf function which creates a ConceptEvent but takes the intersection of Concepts in the first argument and concepts in the context of the Event in the second argument to form the new ConceptEvent. This is a way to keep only those concepts you need in the event.

0.3.0

• Updates code as needed to work with interval-algebra v0.6.2. In particular, the Event a is now a synonym for PairedInterval Context a, hence any methods that work on the PairedInterval also work for the Event type.
• Adds the ConceptEvent a type which is a synonym for PairedInterval Concept a; i.e, this is an event without facts or a source.
• Adds the toConceptEvent function for dropping from an Event a to a ConceptEvent a, and mkConceptEvent function for directly making a ConceptEvent from concepts and an interval.
• Adds generators for lists of arbitrary events. The generator for Concepts is limited at this point; it simply takes a subsample of the first 10 letters of the alphabet. Currently, only generators for Event Int are provided by the generateEventsInt. For example, in the repl generateEventsInt 2 produces two randomly generated events:

*Hasklepias> generateEventsInt 2
[{(-33, -16), Context {getConcepts = fromList ["G","I"], getFacts = Nothing, getSource = Nothing}},{(12, 13), Context {getConcepts = fromList ["A","C","D","E","G","I"], getFacts = Nothing, getSource = Nothing}}]

• Adds the transformToMeetingSequence function which takes a set of concepts and a list of possibly non-disjoint ConceptEventss and returns a list of ConceptEvents, where each consecutive event meets the next. Moreover, only those concepts selected (in the first argument) are kept in the output list of events. In the case that none of the events have the chosen concepts during an interval, an ConceptEvent with an empty set of concept is returned. A few examples might make this more clear.

*Hasklepias> :set -XOverloadedStrings
*Hasklepias> x <- fmap (map toConceptEvent) (generateEventsInt 1)
*Hasklepias> x
[{(3, 4), fromList ["B","C"]}]
*Hasklepias> transformToMeetingSequence (map packConcept ["A"]) x
[{(3, 4), fromList []}]
*Hasklepias> transformToMeetingSequence (map packConcept ["B"]) x
[{(3, 4), fromList ["B"]}]
*Hasklepias> x <- fmap (map toConceptEvent) (generateEventsInt 10)
*Hasklepias> x
[{(-44, 7), fromList ["C","D","E","F","H","J"]},{(-30, -29), fromList ["A","B","F","G","H","I","J"]},{(-25, 5), fromList ["C","D","E","I"]},{(-20, -19), fromList ["A","C","E","G","I","J"]},{(-17, -16), fromList ["B","D","F","J"]},{(-6, -5), fromList ["E","F","H","J"]},{(2, 21), fromList ["A","F","J"]},{(18, 19), fromList ["D","F","G","H","I"]},{(19, 20), fromList ["B","C","D","E","F","H"]},{(30, 31), fromList ["B","C","D","H","J"]}]
*Hasklepias> transformToMeetingSequence (map packConcept ["B", "I"]) x
[{(-44, -30), fromList []},{(-30, -29), fromList ["B","I"]},{(-29, -25), fromList []},{(-25, -17), fromList ["I"]},{(-17, -16), fromList ["B","I"]},{(-16, 5), fromList ["I"]},{(5, 18), fromList []},{(18, 19), fromList ["I"]},{(19, 20), fromList ["B"]},{(20, 30), fromList []},{(30, 31), fromList ["B"]}]

• Adds an example of transformToMeetingSequence could be used to derive a feature that is the list of durations that a subject was both hospitalized and on antibiotics at the same time in the examples/ExampleFeatures2 module.