Statistics.MiniNest

Documentation

plus :: Double -> Double -> Double

data NestedSamplingResult a

Constructors

NestedSamplingResult

Fields

nsLogZ :: Double

nsLogZdelta :: Double

nsInfoNats :: Double

nsSamples :: [a]

Instances

Show (NestedSamplingResult a)

class SamplingObject a where

Methods

setLogWt :: a -> Double -> a

getLogWt :: a -> Double

getLogL :: a -> Double

nestedSampling :: (Ord a, SamplingObject a) => [a] -> (a -> Double -> IO a) -> Int -> IO (NestedSamplingResult a)

nestedSampling computes the evidence Z and samples from the posterior. Args: priorSamples: a list of samples from the prior. explore: a function that evolves an object within a likelihood constraint. iterations: number of iterations to run.

choice :: [a] -> IO a

choice chooses uniformly at random from a list.

floatRatio :: Int -> Int -> Float

getLogWidth :: Int -> Double