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  1. package data-prometheus

    Prometheus metrics text format Pure Prometheus metrics text data parser and builder

  2. package data-ref

    Unify STRef and IORef in plain Haskell 98 This package provides a unique interface to both STRef and IORef. The advantage is that it is plain Haskell 98, the disadvantage is that we cannot use STRef and IORef as they are. Our approach works with Haskell 98 single parameter type classes because we use an explicit dictionary, and we do not pass the references around but their accessors. Similar packages: reference, ref-mtl, ref-fd, ref-tf.

  3. package dataurl

    Handle data-urls Please see README.md

  4. package debian-build

    Debian package build sequence tools This package provides build sequence functions for debian package, and includes on-the-fly build command odebuild.

  5. package decidable

    Combinators for manipulating dependently-typed predicates. This library provides combinators and typeclasses for working and manipulating type-level predicates in Haskell, which are represented as matchable type-level functions k ~> Type from the singletons library. See Data.Type.Predicate for a good starting point, and the documentation for Predicate on how to define predicates.

  6. package declarative

    DIY Markov Chains. This package presents a simple combinator language for Markov transition operators that are useful in MCMC. Any transition operators sharing the same stationary distribution and obeying the Markov and reversibility properties can be combined in a couple of ways, such that the resulting operator preserves the stationary distribution and desirable properties amenable for MCMC. We can deterministically concatenate operators end-to-end, or sample from a collection of them according to some probability distribution. See Geyer, 2005 for details. A useful strategy is to hedge one's 'sampling risk' by occasionally interleaving a computationally-expensive transition (such as a gradient-based algorithm like Hamiltonian Monte Carlo or NUTS) with cheap Metropolis transitions.

    transition = frequency [
    (9, metropolis 1.0)
    , (1, hamiltonian 0.05 20)
    ]
    
    Alternatively: sample consecutively using the same algorithm, but over a range of different proposal distributions.
    transition = concatAllT [
    slice 0.5
    , slice 1.0
    , slice 2.0
    ]
    
    Or just mix and match and see what happens!
    transition =
    sampleT
    (sampleT (metropolis 0.5) (slice 0.1))
    (sampleT (hamiltonian 0.01 20) (metropolis 2.0))
    
    Check the test suite for example usage.

  7. package delta-types

    Delta types, also known as change actions. A delta type da for a base type a is a collection of values, each of which corresponds to a change a → a of the base type. See also

  8. package dependent-monoidal-map

    Dependent map that uses semigroup mappend Data.Dependent.Map variant that appends conflicting entries when merging maps instead of discarding one side of the conflict.

  9. package depq

    Double-ended priority queues Double-ended priority queues, for efficient retrieval of minimum and maximum elements in ordered collections of items.

  10. package derive-topdown

    Derive type class instances This package will make it easier to derive class instance for complex composited data types by using Template Haskell.

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