@hackage/data-default
A class for types with a default value
@hackage/microlens
A tiny lens library with no dependencies
@hackage/statistics
A library of statistical types, data, and functions
@hackage/log-domain
Log-domain arithmetic
@hackage/base
Core data structures and operations
@hackage/primitive
Primitive memory-related operations
@hackage/transformers
Concrete functor and monad transformers
@hackage/aeson
Fast JSON parsing and encoding
@hackage/zlib
Compression and decompression in the gzip and zlib formats
@hackage/vector
Efficient Arrays
@hackage/containers
Assorted concrete container types
@hackage/time
A time library
@hackage/dirichlet
Multivariate Dirichlet distribution
@hackage/mwc-random
Fast, high quality pseudo random number generation
@hackage/bytestring
Fast, compact, strict and lazy byte strings with a list interface
@hackage/double-conversion
Fast conversion between single and double precision floating point and text
@hackage/math-functions
Collection of tools for numeric computations
@hackage/directory
Platform-agnostic library for filesystem operations
@hackage/QuickCheck
Automatic testing of Haskell programs
@hackage/statistics
A library of statistical types, data, and functions
@hackage/log-domain
Log-domain arithmetic
@hackage/base
Core data structures and operations
@hackage/vector
Efficient Arrays
@hackage/hspec
A Testing Framework for Haskell
@hackage/mwc-random
Fast, high quality pseudo random number generation
@hackage/mcmc
Sample from a posterior using Markov chain Monte Carlo
@hackage/directory
Platform-agnostic library for filesystem operations
@hackage/hspec-discover
Automatically discover and run Hspec tests
@hackage/microlens
A tiny lens library with no dependencies
@hackage/statistics
A library of statistical types, data, and functions
@hackage/log-domain
Log-domain arithmetic
@hackage/criterion
Robust, reliable performance measurement and analysis
@hackage/base
Core data structures and operations
@hackage/vector
Efficient Arrays
@hackage/mwc-random
Fast, high quality pseudo random number generation
@hackage/mcmc
Sample from a posterior using Markov chain Monte Carlo