Releases: JuliaStats/Statistics.jl
Releases · JuliaStats/Statistics.jl
v1.11.1
Statistics v1.11.1
Merged pull requests:
- Make SparseArrays a weak dependency (#134) (@IanButterworth)
- Recommend
mean((x, y))
rather thanmiddle((x, y))
(#147) (@nalimilan) - Revert "Prepare standalone package, step 2 (#128)" (#148) (@nalimilan)
- Prevent overflow in
mean(::AbstractRange)
and relax type constraint. (#150) (@chunjiw) - Document MATLAB behavior in
quantile
docstring (#152) (@nalimilan) - Fix
quantile
withDate
andDateTime
(#153) (@nalimilan) - relax test for mapreduce_empty (#156) (@vtjnash)
- Drop support for v1.9 in CI (#157) (@vtjnash)
- CI: restore v1.9.4 to build matrix (#159) (@vtjnash)
Closed issues:
- The
quantile
function can return incorrect results for integer arrays (Int8, Int16, Int32) (#119)
Version 1.11.0
Ready for upgradeable stdlib
Version 1.9.0
- Fix signature in
mean(f, ...)
docstring by @nalimilan in #110 - Update deploydocs URL by @ViralBShah in #111
- Remove unmatched parenthesis by @KronosTheLate in #112
- Allow for quantile to operate over an entire Matrix by @this-josh in #108
- Improve
middle(::AbstractRange)
performance by @vyu in #116 - Fix building docs by @nalimilan in #127
- Prepare standalone package for Julia 1.9 (step 1) by @nalimilan in #129
Version 1.8.0
Fix missing `stdm` method with dims argument (#81) `stdm` is missing a "dims" argument which is documented but has not actually been added.
Version 1.7.0
Fix `cov` and `cor` in the presence of missing values (#94) `dot` currently throws when the input contains `missing`, which is breaking as they were previously accepted. Use `adjoint(y) * x` instead of `dot(y, x)`, as the former falls back to the latter for arrays of `Number`s but to `sum(uu*vv for (uu, vv) in zip(u, v))` for other types.
Version 1.4.0
Version included in Julia 1.4.
First version after extracting Statistics from Julia repository
split Add LICENSE.md