Skip to main content

Exact Fisher test for nxm contingency matrix based on fortran acm 643 and R

Project description

The author of this package has not provided a project description

Project details


Download files

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

Source Distribution

fexact-0.1.0.tar.gz (34.6 kB view details)

Uploaded Source

Built Distributions

fexact-0.1.0-cp310-cp310-win_amd64.whl (32.0 kB view details)

Uploaded CPython 3.10 Windows x86-64

fexact-0.1.0-cp310-cp310-win32.whl (28.9 kB view details)

Uploaded CPython 3.10 Windows x86

fexact-0.1.0-cp310-cp310-musllinux_1_1_x86_64.whl (83.1 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ x86-64

fexact-0.1.0-cp310-cp310-musllinux_1_1_i686.whl (76.1 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ i686

fexact-0.1.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (79.4 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

fexact-0.1.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (78.6 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

fexact-0.1.0-cp310-cp310-macosx_10_9_x86_64.whl (29.6 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

fexact-0.1.0-cp39-cp39-win_amd64.whl (32.0 kB view details)

Uploaded CPython 3.9 Windows x86-64

fexact-0.1.0-cp39-cp39-win32.whl (28.9 kB view details)

Uploaded CPython 3.9 Windows x86

fexact-0.1.0-cp39-cp39-musllinux_1_1_x86_64.whl (82.7 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ x86-64

fexact-0.1.0-cp39-cp39-musllinux_1_1_i686.whl (75.8 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ i686

fexact-0.1.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (79.1 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

fexact-0.1.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (78.4 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

fexact-0.1.0-cp39-cp39-macosx_10_9_x86_64.whl (29.6 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

fexact-0.1.0-cp38-cp38-win_amd64.whl (32.0 kB view details)

Uploaded CPython 3.8 Windows x86-64

fexact-0.1.0-cp38-cp38-win32.whl (28.9 kB view details)

Uploaded CPython 3.8 Windows x86

fexact-0.1.0-cp38-cp38-musllinux_1_1_x86_64.whl (83.2 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ x86-64

fexact-0.1.0-cp38-cp38-musllinux_1_1_i686.whl (76.3 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ i686

fexact-0.1.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (79.5 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

fexact-0.1.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (78.7 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

fexact-0.1.0-cp38-cp38-macosx_10_9_x86_64.whl (29.6 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

File details

Details for the file fexact-0.1.0.tar.gz.

File metadata

  • Download URL: fexact-0.1.0.tar.gz
  • Upload date:
  • Size: 34.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for fexact-0.1.0.tar.gz
Algorithm Hash digest
SHA256 e08d7f27e4c5f18480b8890a834298b05d482ac3c270aa14c9768f22537f6705
MD5 2ebf4e8b579cf4cea516b453834693d2
BLAKE2b-256 c9229abec525ee4ea5d60e08929ec401bcfb37fe0e75bf02b9fc05315fb51272

See more details on using hashes here.

File details

Details for the file fexact-0.1.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: fexact-0.1.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 32.0 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for fexact-0.1.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 870613b09830931fb85f035ead53722055df203a0c28963792cfcd250a25847e
MD5 58772dd302e2130cff4585cf92ee66fb
BLAKE2b-256 d94e6a777743ed1fea1a88f48b7d401e7122e6d2ede6af11cf1b09e0703504cb

See more details on using hashes here.

File details

Details for the file fexact-0.1.0-cp310-cp310-win32.whl.

File metadata

  • Download URL: fexact-0.1.0-cp310-cp310-win32.whl
  • Upload date:
  • Size: 28.9 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for fexact-0.1.0-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 58c45bb3997a7efcb8c07dee98b2e76a67dcadf36d1df04196e2001d22fd1b27
MD5 03127cef2402d619acee4c9dcfbcd203
BLAKE2b-256 05637cbda9ef92389d55c8d28b474b4dd7717ded2889d1bdaa4e5d7d96920118

See more details on using hashes here.

File details

Details for the file fexact-0.1.0-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for fexact-0.1.0-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 3705461195ec8e51eb3ce2f3572654e0525246d6015c8c6af7b549d325a2cae4
MD5 e987a1e92e3fe932553e1f5fc8969dc8
BLAKE2b-256 f50fe1d72301d1a092c683147c209d129ef9b08023f946445b088f0aec5c71d3

See more details on using hashes here.

File details

Details for the file fexact-0.1.0-cp310-cp310-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for fexact-0.1.0-cp310-cp310-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 ef67afbe032216fcd9fffc1e079eb8a5c1ccf19c67e65d35a1f57fd5f2880b8b
MD5 cf587c812ae8fe2608c8cb96dfe6d1de
BLAKE2b-256 565ee84e3d42cf119fc4b9504e6f8c07de1c1c67796053e449bf5f1cfad156ec

See more details on using hashes here.

File details

Details for the file fexact-0.1.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for fexact-0.1.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 22bf1142640da19cfcbd0e5588687c38faee3a5fbc4be115991233edd33ba1cd
MD5 76fc0daf5ab364c698c5582027705ca2
BLAKE2b-256 6b6967f6f0f2f21d7fadee52f799d3dd3da1ceb3a468bad9412e14484cd7fb76

See more details on using hashes here.

File details

Details for the file fexact-0.1.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for fexact-0.1.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 b5f111bad140090ef05565e959f1b9f1ff7e349f29334129c59423885ed50d88
MD5 9e126611801d5eac882e3b8c7d987e91
BLAKE2b-256 b4d22c8ba3b623b69852429fb5f63baa03cf17c8813f2c4ecf19b952ea076756

See more details on using hashes here.

File details

Details for the file fexact-0.1.0-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for fexact-0.1.0-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 4459bfe5b5a22d12b15a1f43e0b8e373593b1e349b59589bd4a0511173c0e2f0
MD5 f30feb3d461dc557dc9bccdf35bb1914
BLAKE2b-256 ed6b37e844d29194759b5b68d04edd35728ecd4c5f0039d9ef756b35a3085c12

See more details on using hashes here.

File details

Details for the file fexact-0.1.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: fexact-0.1.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 32.0 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for fexact-0.1.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 f078822f3a0ab36c62f379dfb5ceb5a85709cabaab94071fcd4b9e165601d0eb
MD5 56bdd12a77b0738591d2588a9bc1df9d
BLAKE2b-256 71774be78148e52007b883e4da5b01e38466aa556a5f834b94320adabbba16d9

See more details on using hashes here.

File details

Details for the file fexact-0.1.0-cp39-cp39-win32.whl.

File metadata

  • Download URL: fexact-0.1.0-cp39-cp39-win32.whl
  • Upload date:
  • Size: 28.9 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for fexact-0.1.0-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 739a02bff6de6be37d5bb189eace0d54b30d42793b658de096c62c573ccbb2fe
MD5 5245e4a53ae43d5bd674a3776caf9789
BLAKE2b-256 40af745069ee07ae16758ff3325071568dd5455e9ea21a9d05b5dfae30a96828

See more details on using hashes here.

File details

Details for the file fexact-0.1.0-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for fexact-0.1.0-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 08303d4ed396e489a813541865b425533baec753342aefc38635ead0f556f49f
MD5 8f1fb46dfb871bb522d2a57c4900586d
BLAKE2b-256 fb1073cb87380bbeadd65a807d10ef56914d31dd8a74b3181739b683e197ff38

See more details on using hashes here.

File details

Details for the file fexact-0.1.0-cp39-cp39-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for fexact-0.1.0-cp39-cp39-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 b26d962024d82f8f5187ec6a89adc3986302f32abff656efa25e133b94d5a4c6
MD5 3a05a3ebab469add7d50cb462b70ddb6
BLAKE2b-256 51221f458b39113b98dad622606c77aeb37c3af8ca747918869f09de154fe1d5

See more details on using hashes here.

File details

Details for the file fexact-0.1.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for fexact-0.1.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 fa39c0de8d31645b32ebf9a055976c84873cfc683a1eb397c66132d86b3ef253
MD5 087733acab6a2b8fe0802056a3233901
BLAKE2b-256 19b8ebe625edef1e8e3bdf98f04d23d53e12f827ce3d0a24f28032908e10e0cd

See more details on using hashes here.

File details

Details for the file fexact-0.1.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for fexact-0.1.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 838b49f49d9d1c9822085aaffccf4a1e16fddf9c1a70bfed96c6488cad19dc58
MD5 4690d3837952d9d15cac3bcf49bbe008
BLAKE2b-256 c5b28f13f9bc4d804c716abbf0fb66f0e08bd08e78509002b04a20696597d4f2

See more details on using hashes here.

File details

Details for the file fexact-0.1.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for fexact-0.1.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 f8b211989dabcef863cda96dd1ebee1119049d9db5029474d3ae32c8521bfbf1
MD5 c19e40c8ac6fa1c4266154b211d6e63d
BLAKE2b-256 c41253edb5816ded05474a9c8e1cba0d59140d926371a9ce7e991058e6cb2247

See more details on using hashes here.

File details

Details for the file fexact-0.1.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: fexact-0.1.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 32.0 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for fexact-0.1.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 8ae9fa6cd497ff992f70329ff7d18c78c8f7c01e8f1891e6bc022db002e6b1e5
MD5 4e583c8c5b63f2a553a87f812c6f1142
BLAKE2b-256 e35faf3b5ed37d5db57538f9e22f5fe7ef4bc55448bff3f360cf3f0fdb1984a6

See more details on using hashes here.

File details

Details for the file fexact-0.1.0-cp38-cp38-win32.whl.

File metadata

  • Download URL: fexact-0.1.0-cp38-cp38-win32.whl
  • Upload date:
  • Size: 28.9 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for fexact-0.1.0-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 a99b598fd1209ee6c2e883eedd5f4e7ad16777989d65bc6133a8f0931d7b6dc5
MD5 a015d4f18ad4b61ac1bd5bcd209c1257
BLAKE2b-256 e9c6c0ed1e1c2238bc06684d81e13335fc9bc55ccb8d57f625f84d2ef19c493b

See more details on using hashes here.

File details

Details for the file fexact-0.1.0-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for fexact-0.1.0-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 ea3e3019fb15b9503c1ac6b09dce87ee04dd8097a8abbe8d6ebd68a3eaa84359
MD5 caea2fa3e92120419e71c9cffca319e2
BLAKE2b-256 7b4389f12f9737bf2fc19cb5c36ca9e67bd4b2fd03445e93c07fb73fd4040c08

See more details on using hashes here.

File details

Details for the file fexact-0.1.0-cp38-cp38-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for fexact-0.1.0-cp38-cp38-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 5a274613f317d5a769e9489fb6331af14a77a465b851b38439beff847402df39
MD5 a6a26c188be012e4f53bb8253ac5c5ca
BLAKE2b-256 5ce47cf9bff21f978a4091f5334d4ce46fdface7b7d47410c09152ccf4f1cc86

See more details on using hashes here.

File details

Details for the file fexact-0.1.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for fexact-0.1.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5b8f51d7e301a8b769356b5bc0a3e2d53fe1e7803910b50e57e46cebae8d42d5
MD5 43a0c56d8863e7197f815408ad39f3e2
BLAKE2b-256 e64d36243b81a716fd2ab72b1a130b6dcf383e310abd8296fd8ed932ceb7a810

See more details on using hashes here.

File details

Details for the file fexact-0.1.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for fexact-0.1.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 1c14891235c6c2cff7d4e7874dd2ddc823463328b8779ab73f018779b3220a77
MD5 7845f10322248449c54c5dd037eefb59
BLAKE2b-256 85062a5c6c919329c49a2f42b661188f85e10cabf67d99118b81559575979f05

See more details on using hashes here.

File details

Details for the file fexact-0.1.0-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for fexact-0.1.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 c1b1934971698e0116aae52e72a69d671610aadaa22e294089edd8ceaac9857e
MD5 a7db308d603fa31396d27d7030e5259b
BLAKE2b-256 c7e0051b451ec109368f790c0d7b60f0d510981be1b323363ac5228b36b9b30b

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