Utilities for manipulating correlated Gaussian random variables.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for gplepage from gravatar.com gplepage

Unverified details

These details have not been verified by PyPI
Project links
Meta

Project description

This package facilitates the creation and manipulation of arbitrarily complicated (correlated) multi-dimensional Gaussian random variables. The random variables are represented by a new data type (gvar.GVar) that can be used in arithmetic expressions and pure Python functions. Such expressions/functions create new Gaussian random variables while automatically tracking statistical correlations between the new and old variables. This data type is useful for simple error propagation, but also is heavily used by the Bayesian least-squares fitting module lsqfit.py to define priors and specify fit results, while accounting for correlations between all variables. Documentation can is in the doc/ subdirectory: see doc/html/index.html or look online at <https://gvar.readthedocs.io>.

These packages use numpy for efficient array arithmetic, and cython to compile efficient code. gvar uses automatic differentiation to track covariances through arbitrary arithmetic.

Information on how to install the components is in the INSTALLATION file.

To test the libraries try make tests. Some examples are give in the examples/ subdirectory.

gvar version numbers have the form major.minor.patch where: incompatible changes are signaled by incrementing the major version number, the minor number signals new features, and the patch number signals bug fixes.

Created by G. Peter Lepage (Cornell University) 2008
Copyright (c) 2008-2020 G. Peter Lepage
https://zenodo.org/badge/37556070.svg

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for gplepage from gravatar.com gplepage

Unverified details

These details have not been verified by PyPI
Project links
Meta

Release history Release notifications | RSS feed

This version

13.1.1

13.1

13.0.2

13.0.1

13.0

12.1

12.0

11.11.17

11.11.15

11.11.14

11.11.13

11.11.12

11.11.11

11.11.10

11.11.6

11.11.5

11.11.4

11.11.3

11.11.2

11.11.1

11.11

11.10.1

11.10

11.9.7

11.9.6

11.9.5

11.9.4

11.9.3

11.9.2

11.9.1

11.9

11.8

11.7

11.6

11.5.2

11.5.1

11.5

11.4

11.2

11.1

11.0

10.1.2

10.1.1

10.1

10.0.2

10.0.1

10.0

9.2.1

9.2

9.1

9.0.3

9.0.2

9.0.1

9.0

8.5.1

8.5

8.4

8.3.7

8.3.6

8.3.5

8.3.4

8.3.3

8.3.2

8.3.1

8.3

8.2.3

8.2.2

8.2.1

8.2

8.1

8.0

7.3.1

7.3

7.2

7.1

7.0.3

7.0.2

7.0.1

7.0

6.0

5.0

4.8.5

4.8.4

4.8.2

4.8.1

4.8

4.7

4.6.1

4.5.3

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gvar-13.1.1.tar.gz (1.3 MB view details)

Uploaded Source

Built Distributions

gvar-13.1.1-cp312-cp312-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.12 Windows x86-64

gvar-13.1.1-cp312-cp312-musllinux_1_2_x86_64.whl (8.0 MB view details)

Uploaded CPython 3.12 musllinux: musl 1.2+ x86-64

gvar-13.1.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.8 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

gvar-13.1.1-cp312-cp312-macosx_11_0_arm64.whl (1.2 MB view details)

Uploaded CPython 3.12 macOS 11.0+ ARM64

gvar-13.1.1-cp312-cp312-macosx_10_9_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.12 macOS 10.9+ x86-64

gvar-13.1.1-cp311-cp311-win_amd64.whl (1.2 MB view details)

Uploaded CPython 3.11 Windows x86-64

gvar-13.1.1-cp311-cp311-musllinux_1_2_x86_64.whl (8.4 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.2+ x86-64

gvar-13.1.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.9 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

gvar-13.1.1-cp311-cp311-macosx_11_0_arm64.whl (1.2 MB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

gvar-13.1.1-cp311-cp311-macosx_10_9_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

gvar-13.1.1-cp310-cp310-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.10 Windows x86-64

gvar-13.1.1-cp310-cp310-musllinux_1_2_x86_64.whl (7.7 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.2+ x86-64

gvar-13.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.4 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

gvar-13.1.1-cp310-cp310-macosx_11_0_arm64.whl (1.2 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

gvar-13.1.1-cp310-cp310-macosx_10_9_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

gvar-13.1.1-cp39-cp39-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.9 Windows x86-64

gvar-13.1.1-cp39-cp39-musllinux_1_2_x86_64.whl (7.7 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.2+ x86-64

gvar-13.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.4 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

gvar-13.1.1-cp39-cp39-macosx_11_0_arm64.whl (1.2 MB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

gvar-13.1.1-cp39-cp39-macosx_10_9_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

File details

Details for the file gvar-13.1.1.tar.gz.

File metadata

  • Download URL: gvar-13.1.1.tar.gz
  • Upload date:
  • Size: 1.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for gvar-13.1.1.tar.gz
Algorithm Hash digest
SHA256 422c55312796a197018f8c2362ab0a32b9292074ba315bc70fa474b81cc094c3
MD5 abbf4d7708c57f84f7acc89b4fd01d6e
BLAKE2b-256 37623ae87411825d77f816baf94df520911b9d7b6d9aac33331902044f6c89b2

See more details on using hashes here.

File details

Details for the file gvar-13.1.1-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: gvar-13.1.1-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for gvar-13.1.1-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 6bbbc3e435aaf779b5dcd5c7da5bf41fc71fde4e493e507cf1353144cb0db54e
MD5 516ddd43c41972c51a518437234153c6
BLAKE2b-256 174b5de63a26b39e094eb2f73327ef81ed4a31f2b20824a69862d16cd1126cb5

See more details on using hashes here.

File details

Details for the file gvar-13.1.1-cp312-cp312-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for gvar-13.1.1-cp312-cp312-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 775ed015fa06c339e8714baa396690ca36e3894d35309f3b66677fa2c3e9f989
MD5 f4e94a3a2031bb8bce2eaeeabaa35f7c
BLAKE2b-256 fbdec5595fae960da41d000a612375aad4879401166f2a1ac62e1cb8401fcb2d

See more details on using hashes here.

File details

Details for the file gvar-13.1.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for gvar-13.1.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 649f03a1d09e52492ee875c34505d93d8f2c6aa04bfc390360603fcf211ee2a0
MD5 19cb7a56e90ebb704bbca799a2776fe6
BLAKE2b-256 0ffa103187c1b80b2213cef33016f5782f78f7040dab2fc6b90d8e5ff26ac048

See more details on using hashes here.

File details

Details for the file gvar-13.1.1-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for gvar-13.1.1-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 118d49bc6f2a7092ec597e4f509e88f541fad0d9ebbaee1c0478207c23b37ff9
MD5 273760ac7ee1eff64defa82ea1756d57
BLAKE2b-256 b5b8b6b88b48e67987f950356b5ce64828aa83cf101ad7562b3ae07f6f23d584

See more details on using hashes here.

File details

Details for the file gvar-13.1.1-cp312-cp312-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for gvar-13.1.1-cp312-cp312-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 304dd80435855ccbd25a9670f0d938eb720fb9cb7e47cd35b04fc0b3d89d0f2e
MD5 a9ca4f642afb6a5a50f45b27adeca8cf
BLAKE2b-256 df585da5f7779d70fd3d1fa43cf6ca3b14b84efd6c45cfc22e7d499d19d5da36

See more details on using hashes here.

File details

Details for the file gvar-13.1.1-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: gvar-13.1.1-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for gvar-13.1.1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 c9626e9965a1cea4fb4bf761a738c8742eb263bc916eec6f179ce3c1168ec67d
MD5 e6faff082274c9c340d0253c69beab24
BLAKE2b-256 3f39dd3dd389a862cb0939375fcdd541f350a73f211802956b46c5c84acb0936

See more details on using hashes here.

File details

Details for the file gvar-13.1.1-cp311-cp311-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for gvar-13.1.1-cp311-cp311-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 03a97db5fa8ea16c7536b0aa5e7c24a65de75ccc7c9e4bba81b7ae46bd9f3005
MD5 510018bf81c9cd03cd7955cc72afb145
BLAKE2b-256 5c8602d63268bdffdf1b5a59a940efcdb224c09d0ddbadfa35a0e4b8515a7e9a

See more details on using hashes here.

File details

Details for the file gvar-13.1.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for gvar-13.1.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f0940416dac5ab2f82b16cd3c245c95e235399e5d1d2938ad9c0a1a47c04484f
MD5 5cc2d1ba791c0ccead6341125cd9400b
BLAKE2b-256 9ec9ec942fd1c066b512bf2806f0d14a1020f6d08a7bb93485e2d28c3704929d

See more details on using hashes here.

File details

Details for the file gvar-13.1.1-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for gvar-13.1.1-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 af435a50cb837c46b6c6c9bf17fc3026570868a413afc2565967f7cfda2cd0e4
MD5 24416cf5dc9a47f5bba170e6f90328ed
BLAKE2b-256 9cb7b14fd1ad2d78217fd7eb2ec12446ed58fdca3d367c9d6525852509f7e659

See more details on using hashes here.

File details

Details for the file gvar-13.1.1-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for gvar-13.1.1-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 8acf7eb542881ebec7bc5ce97a85fae29163ca357a672ebe02036ed63dc5ab7d
MD5 bc4f9762339c038a0c43e4e46b61aa41
BLAKE2b-256 0aabf6004151ab8083da85c1d1ca4b3288184803d4a11e54f6070c925363ad68

See more details on using hashes here.

File details

Details for the file gvar-13.1.1-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: gvar-13.1.1-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for gvar-13.1.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 a5aa673284c3a7e550b2013442b0c51c48bafe5683b75bbc24b9a80597ba907a
MD5 5d59c237bb9fcaa9a1401d6fc4f9e7c7
BLAKE2b-256 8b8ad3aabc140d32e6ab9b929569b316e7e334d05af5a0e98f36187714239edf

See more details on using hashes here.

File details

Details for the file gvar-13.1.1-cp310-cp310-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for gvar-13.1.1-cp310-cp310-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 6a3e7099b4f25ad636dad2792288121b1fffb83a92cb8724c8da95ab77ada5be
MD5 dfdc71fa4426b0f904f4a05abd396cf2
BLAKE2b-256 46ec43f70c608930c207871a7558fb4c316157b45edbdd711034bd059ffa44c2

See more details on using hashes here.

File details

Details for the file gvar-13.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for gvar-13.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 655ea58af6723b6b68cb2d087282b414ea44bcd8f0c407dffdf4e40d9a4dccd9
MD5 8923243b8e573faf74ed0afb573fd2b6
BLAKE2b-256 9193abf3ae3cd1fbfd61eabf2eb3a457e96f4233dd2908d2fa24dd395088d44e

See more details on using hashes here.

File details

Details for the file gvar-13.1.1-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for gvar-13.1.1-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 f318d49ce0602339e1b0788a27f9077ce1b476a1d563179648a865bd7967d453
MD5 bfb4785864ab11a2ebfd37bcea02ef7e
BLAKE2b-256 2f7d5544028e7d2f2ce6419ae53457cf47a86b46663e44a9b2e16e0449177673

See more details on using hashes here.

File details

Details for the file gvar-13.1.1-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for gvar-13.1.1-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 4c7ee128fd4c835d3d8b2c74202064300fff9c53ac2c30ff704c5c23c9efae4f
MD5 e3bf96d94adbe5cb0baa244eb656455f
BLAKE2b-256 b1bc73eb4f0605e982bde747c497fdf801356728538fb7da4e54e4d266fbe955

See more details on using hashes here.

File details

Details for the file gvar-13.1.1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: gvar-13.1.1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for gvar-13.1.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 d175397f7b3ce6ed5133b3718a788d7985251e14342066a321ef8ce0836838f1
MD5 00a2ecb6d7f9049af4bb73043fd0572d
BLAKE2b-256 164b052921a2c685aafe8017f3283c9be467e1425fb045b4b1abdca73bb63177

See more details on using hashes here.

File details

Details for the file gvar-13.1.1-cp39-cp39-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for gvar-13.1.1-cp39-cp39-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 ee6a3d6bdd006cbee1da339c1b04a81d617ef5fc15d6d3cf040562bce5e86adf
MD5 7f4bd77c1f492ee1a77430b25ff0ab0e
BLAKE2b-256 5692335de6a03a7e71ae5fa57e2d39074fe68f05b0324d4b158095e0a640b33d

See more details on using hashes here.

File details

Details for the file gvar-13.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for gvar-13.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f23c882a8eba988de6737d64203b8e0933a3ea68adddb0c47468957456557096
MD5 6efafef84c74f91924314c2d139a3d20
BLAKE2b-256 01b6da63a5a9c5bd6a4d8fdf8beb19fdd7a16fef97299c5aed641f16b130d9e6

See more details on using hashes here.

File details

Details for the file gvar-13.1.1-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for gvar-13.1.1-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 bb3128a5de38484efc49532721f961487e9a5b454fac998d04c2d40c13b67d34
MD5 22a4e38c116d5145bb480cbe06c9e1b7
BLAKE2b-256 2c640dd1f6787a2642d3b159d47f7a568115e31156acf06d268c3f6c141310fa

See more details on using hashes here.

File details

Details for the file gvar-13.1.1-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for gvar-13.1.1-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 a692312da3a04e14fb2556515518a8797dd77b7eda1cb62d117cdedfd7c0f477
MD5 cc91d90c774bd28a69d511ddcc5698c6
BLAKE2b-256 bbd8cdb495d2df69d6c5ffdd7987a1f63dd027d44257687b62f53cde0d12383a

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page