SUSE Package Hub 15 one-click install Install ghc-foldl-statistics NOTE: This one-click installation requires that the SUSE Package Hub extension to already be enabled. See http://packagehub.suse.com/how-to-use/ for information on enabling the Package Hub extension If the extension is not enabled, this installation will fail while trying to enable an invalid repo. This package might depend on packages from SUSE Linux Enterprise modules. If those modules are not enabled, a package dependency error will be encountered. SUSE-PackageHub-15-Standard-Pool Package Hub 15 Dummy repo - this will fail ghc-foldl-statistics Statistical functions from the statistics package implemented as Folds The use of this package allows statistics to be computed using at most two passes over the input data, one to compute a mean and one to compute a further statistic such as variance and /n/th central moments. All algorithms are the obvious implementation of Bryan O'Sullivan's <https://hackage.haskell.org/package/statistics statistics> package imeplemented as `Fold's from the <https://hackage.haskell.org/package/foldl foldl> package. SUSE Package Hub 15 one-click install Install ghc-foldl-statistics NOTE: This one-click installation requires that the SUSE Package Hub extension to already be enabled. See http://packagehub.suse.com/how-to-use/ for information on enabling the Package Hub extension If the extension is not enabled, this installation will fail while trying to enable an invalid repo. This package might depend on packages from SUSE Linux Enterprise modules. If those modules are not enabled, a package dependency error will be encountered. SUSE-PackageHub-15-Standard-Pool Package Hub 15 Dummy repo - this will fail ghc-foldl-statistics Statistical functions from the statistics package implemented as Folds The use of this package allows statistics to be computed using at most two passes over the input data, one to compute a mean and one to compute a further statistic such as variance and /n/th central moments. All algorithms are the obvious implementation of Bryan O'Sullivan's <https://hackage.haskell.org/package/statistics statistics> package imeplemented as `Fold's from the <https://hackage.haskell.org/package/foldl foldl> package.