# \[ANN\] BinningAnalysis.jl

**URL:** <https://discourse.julialang.org/t/ann-binninganalysis-jl/25840>\
**Category:** Package Announcements\
**Created:** [June 29, 2019, 2:07pm UTC](https://discourse.julialang.org/t/ann-binninganalysis-jl/25840 "2019-06-29T14:07:59Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![carstenbauer](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/carstenbauer/32/4981_2.png) [@carstenbauer](https://discourse.julialang.org/u/carstenbauer)\
**Post date:** [June 29, 2019, 2:07pm UTC](https://discourse.julialang.org/t/ann-binninganalysis-jl/25840/1 "2019-06-29T14:07:59Z")

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Hi all,

let me announce the small and lightweight [BinningAnalysis.jl](https://github.com/crstnbr/BinningAnalysis.jl).

The package provides tools to estimate [standard errors](https://en.wikipedia.org/wiki/Standard_error) and [autocorrelation times](https://en.wikipedia.org/wiki/Autocorrelation) of correlated time series. A typical example is a Markov chain obtained in a Metropolis Monte Carlo simulation.

Concretely, we currently offer

- Logarithmic binning
  - Size complexity: `O(log(N))`
  - Time complexity: `O(N)`

- “Full” binning (all bin sizes that work out evenly)
- Jackknife resampling

Feel free to checkout the (registered) package. Any feedback is very welcome.

Best

Carsten