haskell-statistics 0.16.2.1-1 source package in Ubuntu
Changelog
haskell-statistics (0.16.2.1-1) unstable; urgency=medium * New upstream release -- Clint Adams <email address hidden> Sat, 21 Oct 2023 13:50:26 -0400
Upload details
- Uploaded by:
- Debian Haskell Group
- Uploaded to:
- Sid
- Original maintainer:
- Debian Haskell Group
- Architectures:
- any all
- Section:
- haskell
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Noble | release | universe | haskell |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| haskell-statistics_0.16.2.1-1.dsc | 3.5 KiB | 70aada9997829c4a54257e44bd79ef3fae40a3e71e1536c8a3e0ffe96fa56ad1 |
| haskell-statistics_0.16.2.1.orig.tar.gz | 105.4 KiB | a7c0c068a0d1f784d865163748a40fbbdda48febe3b905063a22ce7a32e05ce4 |
| haskell-statistics_0.16.2.1-1.debian.tar.xz | 3.9 KiB | 120dd850a48db7ad71b1a48f86a96eb061f9e816d9c3383d4799a964fad0403c |
Available diffs
No changes file available.
Binary packages built by this source
- libghc-statistics-dev: A library of statistical types, data, and functions
This library provides a number of common functions and types useful
in statistics. Our focus is on high performance, numerical
robustness, and use of good algorithms. Where possible, we provide
references to the statistical literature.
.
The library's facilities can be divided into three broad categories:
.
Working with widely used discrete and continuous probability
distributions. (There are dozens of exotic distributions in use; we
focus on the most common.)
.
Computing with sample data: quantile estimation, kernel density
estimation, bootstrap methods, regression and autocorrelation analysis.
.
Random variate generation under several different distributions.
.
This package provides a library for the Haskell programming language.
See http://www.haskell. org/ for more information on Haskell.
- libghc-statistics-doc: A library of statistical types, data, and functions; documentation
This library provides a number of common functions and types useful
in statistics. Our focus is on high performance, numerical
robustness, and use of good algorithms. Where possible, we provide
references to the statistical literature.
.
The library's facilities can be divided into three broad categories:
.
Working with widely used discrete and continuous probability
distributions. (There are dozens of exotic distributions in use; we
focus on the most common.)
.
Computing with sample data: quantile estimation, kernel density
estimation, bootstrap methods, and autocorrelation analysis.
.
Random variate generation under several different distributions.
.
This package provides the documentation for a library for the Haskell
programming language.
See http://www.haskell. org/ for more information on Haskell.
- libghc-statistics-prof: A library of statistical types, data, and functions; profiling libraries
This library provides a number of common functions and types useful
in statistics. Our focus is on high performance, numerical
robustness, and use of good algorithms. Where possible, we provide
references to the statistical literature.
.
The library's facilities can be divided into three broad categories:
.
Working with widely used discrete and continuous probability
distributions. (There are dozens of exotic distributions in use; we
focus on the most common.)
.
Computing with sample data: quantile estimation, kernel density
estimation, bootstrap methods, and autocorrelation analysis.
.
Random variate generation under several different distributions.
.
This package provides a library for the Haskell programming language, compiled
for profiling. See http://www.haskell. org/ for more information on Haskell.
