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.