packages feed

order-statistics 0.1 → 0.1.0.2

raw patch · 3 files changed

+13/−7 lines, 3 filesdep ~containers

Dependency ranges changed: containers

Files

+ .travis.yml view
@@ -0,0 +1,1 @@+language: haskell
Statistics/Order.hs view
@@ -21,11 +21,11 @@   , (@#)   , breakdown   -- ** Robust L-Estimators-  , trimean     -- Tukey's trimean-  , midhinge    -- average of q1 and q3-  , iqr         -- interquartile range-  , iqm         -- interquartile mean-  , lscale      -- second L-moment+  , trimean  -- Tukey's trimean+  , midhinge -- average of q1 and q3+  , iqr      -- interquartile range+  , iqm      -- interquartile mean+  , lscale   -- second L-moment   -- ** L-Estimator Combinators   , trimmed   , winsorized, winsorised@@ -69,6 +69,9 @@  -- | L-estimators are linear combinations of order statistics used by 'robust' statistics. newtype L r = L { runL :: Int -> IntMap r }++-- TODO: Write code to test if the result of a given L-estimator will be always than or equal +-- to the result of another L-estimator at a given sample size.  -- | Calculate the result of applying an L-estimator after sorting list into order statistics (@@) :: (Num r, Ord r) => L r -> [r] -> r
order-statistics.cabal view
@@ -1,6 +1,6 @@ name:          order-statistics category:      Statistics-version:       0.1+version:       0.1.0.2 license:       BSD3 cabal-version: >= 1.6 license-file:  LICENSE@@ -8,10 +8,12 @@ maintainer:    Edward A. Kmett <ekmett@gmail.com> stability:     provisional homepage:      http://github.com/ekmett/order-statistics/+bug-reports:   http://github.com/ekmett/order-statistics/issues copyright:     Copyright (C) 2012 Edward A. Kmett synopsis:      L-Estimators for robust statistics description:   L-Estimators for robust statistics build-type:    Simple+extra-source-files: .travis.yml  source-repository head   type: git@@ -27,7 +29,7 @@     math-functions >= 0.1.1  && < 0.2,     vector         >= 0.9.1  && < 0.10,     vector-space   >= 0.8    && < 0.9,-    containers     >= 0.3    && < 0.5+    containers     >= 0.3    && < 0.6    exposed-modules:     Statistics.Distribution.Beta