plfit 0.9.4+ds-1ubuntu1 source package in Ubuntu
Changelog
plfit (0.9.4+ds-1ubuntu1) lunar; urgency=medium * Merge with Debian unstable (LP: #2003905). Remaining changes: - use 64bit long double on s390x (LP #1962311) -- Bryce Harrington <email address hidden> Wed, 25 Jan 2023 11:52:07 -0800
Upload details
- Uploaded by:
- Bryce Harrington
- Uploaded to:
- Lunar
- Original maintainer:
- Ubuntu Developers
- Architectures:
- any all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section | |
---|---|---|---|---|
Mantic | release | universe | misc | |
Lunar | release | universe | misc |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
plfit_0.9.4+ds.orig.tar.xz | 139.3 KiB | e109d70922b85c73d56593c2202163a78011fa3c6d4fa4474217b1c925bbc41b |
plfit_0.9.4+ds-1ubuntu1.debian.tar.xz | 11.4 KiB | f45b59003aaf87d887b63aac1845f0503dab827677206612fe941d2b38c4ed17 |
plfit_0.9.4+ds-1ubuntu1.dsc | 2.3 KiB | 58aa9d231ff2b5c39828c1da8093fd12a3d774c006cd58cf954b8c09b99d2b16 |
Available diffs
Binary packages built by this source
- libplfit-dev: fitting power-law distributions to empirical data -- development
The plfit software fits power-law distributions to empirical (discrete or
continuous) data, according to the method of Clauset, Shalizi and Newman
[SIAM Review 51, 661-703 (2009)].
.
This package contains the header files, static libraries and symbolic
links that developers using the plfit library will need.
- libplfit0: fitting power-law distributions to empirical data -- library
The plfit software fits power-law distributions to empirical (discrete or
continuous) data, according to the method of Clauset, Shalizi and Newman
[SIAM Review 51, 661-703 (2009)].
.
This package provides the shared library required to run programs
compiled against the plfit library. To compile your own programs you
also need to install the libplfit-dev package.
- libplfit0-dbgsym: debug symbols for libplfit0
- plfit: fitting power-law distributions to empirical data -- interfaces
The plfit software fits power-law distributions to empirical (discrete or
continuous) data, according to the method of Clauset, Shalizi and Newman
[SIAM Review 51, 661-703 (2009)].
.
This package provides two command line utilities, plfit and plgen.
- plfit-dbgsym: debug symbols for plfit
- plfit-doc: fitting power-law distributions to empirical data -- doc
The plfit software fits power-law distributions to empirical (discrete or
continuous) data, according to the method of Clauset, Shalizi and Newman
[SIAM Review 51, 661-703 (2009)].
.
This package provides examples and data samples.
- python3-plfit: fitting power-law distributions to empirical data -- Python
The plfit software fits power-law distributions to empirical (discrete or
continuous) data, according to the method of Clauset, Shalizi and Newman
[SIAM Review 51, 661-703 (2009)].
.
This package provides a Python module.
- python3-plfit-dbgsym: debug symbols for python3-plfit