From d558f5165e7e7f4daffadae1197e53618727971d Mon Sep 17 00:00:00 2001
From: Alberto Ruiz <aruiz@um.es>
Date: Thu, 8 May 2014 08:56:43 +0200
Subject: moved Random

---
 packages/hmatrix/src/Data/Packed/Random.hs | 57 ------------------------------
 1 file changed, 57 deletions(-)
 delete mode 100644 packages/hmatrix/src/Data/Packed/Random.hs

(limited to 'packages/hmatrix/src/Data/Packed')

diff --git a/packages/hmatrix/src/Data/Packed/Random.hs b/packages/hmatrix/src/Data/Packed/Random.hs
deleted file mode 100644
index e8b0268..0000000
--- a/packages/hmatrix/src/Data/Packed/Random.hs
+++ /dev/null
@@ -1,57 +0,0 @@
------------------------------------------------------------------------------
--- |
--- Module      :  Data.Packed.Vector
--- Copyright   :  (c) Alberto Ruiz 2009
--- License     :  GPL
---
--- Maintainer  :  Alberto Ruiz <aruiz@um.es>
--- Stability   :  provisional
---
--- Random vectors and matrices.
---
------------------------------------------------------------------------------
-
-module Data.Packed.Random (
-    Seed,
-    RandDist(..),
-    randomVector,
-    gaussianSample,
-    uniformSample
-) where
-
-import Numeric.GSL.Vector
-import Data.Packed
-import Numeric.ContainerBoot
-import Numeric.LinearAlgebra.Algorithms
-
-
-type Seed = Int
-
--- | Obtains a matrix whose rows are pseudorandom samples from a multivariate
--- Gaussian distribution.
-gaussianSample :: Seed
-               -> Int -- ^ number of rows
-               -> Vector Double -- ^ mean vector
-               -> Matrix Double -- ^ covariance matrix
-               -> Matrix Double -- ^ result
-gaussianSample seed n med cov = m where
-    c = dim med
-    meds = konst' 1 n `outer` med
-    rs = reshape c $ randomVector seed Gaussian (c * n)
-    m = rs `mXm` cholSH cov `add` meds
-
--- | Obtains a matrix whose rows are pseudorandom samples from a multivariate
--- uniform distribution.
-uniformSample :: Seed
-               -> Int -- ^ number of rows
-               -> [(Double,Double)] -- ^ ranges for each column
-               -> Matrix Double -- ^ result
-uniformSample seed n rgs = m where
-    (as,bs) = unzip rgs
-    a = fromList as
-    cs = zipWith subtract as bs
-    d = dim a
-    dat = toRows $ reshape n $ randomVector seed Uniform (n*d)
-    am = konst' 1 n `outer` a
-    m = fromColumns (zipWith scale cs dat) `add` am
-
-- 
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