mighty-metropolis alternatives and similar packages
Based on the "Numeric" category.
Alternatively, view mighty-metropolis alternatives based on common mentions on social networks and blogs.
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sparse-linear-algebra
Numerical computation in native Haskell -
hyperloglog
A constant-memory approximation of set membership -
log-domain
This package provides log-domain floats, doubles and complex numbers for Haskell. -
tdigest
On-line accumulation of rank-based statistics such as quantiles and trimmed means -
limp
ideally, this will become a pure Haskell library for Linear Integer/Mixed Programming -
microlens-aeson
Lenses and Traversals for Aeson, based on Microlens. -
hasty-hamiltonian
Speedy gradient-based traversal through parameter space. -
mwc-probability-transition
A Markov stochastic transition operator with logging -
repr
Render overloaded expressions to their textual representation. -
roman-numerals
Parsing and pretty printing of Roman numerals -
numeric-ranges
DSL written in Haskell that provides a set of tools for working with both open and closed numeric intervals. -
nat-sized-numbers
Arbitrarily sized wraparound numeric types. Useful for testing -
approx
The library is created to allow for a easy-to-use reasonable way of emulating approx in Haskell. -
simple-units
Haskell library for performing arithmetic with SI units with type-checked dimensional analysis -
hmatrix-nlopt
High-level hmatrix-compatible bindings to NLOPT from Haskell -
nlopt-haskell
Low-level Haskell bindings to the NLOPT library -
gutenberg-fibonaccis
The first 1001 Fibonacci numbers, retrieved from the Gutenberg Project. -
affine-invariant-ensemble-mcmc
General-purpose sampling
Collect and Analyze Billions of Data Points in Real Time
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
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Popular Comparisons
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mighty-metropolisvsmicrolens-aeson
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mighty-metropolisvslbfgs
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mighty-metropolisvsnumeric-qq
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nlopt-haskellvssparse-linear-algebra
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hmatrix-nloptvssparse-linear-algebra
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README
mighty-metropolis
The classic Metropolis algorithm. Wander around parameter space according to a simple spherical Gaussian distribution.
Exports a mcmc function that prints a trace to stdout, a chain function for
collecting results in memory, and a metropolis transition operator that can
be used more generally.
See the test directory for example usage.
import Numeric.MCMC.Metropolis
rosenbrock :: [Double] -> Double
rosenbrock [x0, x1] = negate (5 *(x1 - x0 ^ 2) ^ 2 + 0.05 * (1 - x0) ^ 2)
main :: IO ()
main = withSystemRandom . asGenIO $ mcmc 10000 1 [0, 0] rosenbrock
mighty-metropolis is a member of the declarative suite of libraries, containing a bunch of MCMC algorithms that play nicely together.
*Note that all licence references and agreements mentioned in the mighty-metropolis README section above
are relevant to that project's source code only.