Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

OccuSpytial

A package for fast bayesian analysis of spatial occupancy models. OccuSpytial implements several samplers for the single season site spatial occupancy model using the Intrinsic Conditional Autoregressive (ICAR) model for spatial random effects.

Usage

For usage examples refer to the project's documentation.

Installation

The package can be installed using pip.

pip install occuspytial

Alternatively, it can be installed from source using poetry

git clone https://github.com/zoj613/OccuSpytial.git
cd OccuSpytial/
poetry install

Note that installing this way requires that Cython is installed for a successful build.

Testing

To run tests after installation, the package pytest is required. Simply run the following line from the terminal in this package's root directory.

python -m pytest

If all tests pass, then you're good to go.

Licensing

OccuSpytial is free software made available under the BSD License. For details see the LICENSE file.

Download files

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

Source Distribution

occuspytial-0.1.0a0.tar.gz (192.3 kB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

occuspytial-0.1.0a0-cp38-cp38-manylinux2014_x86_64.whl (778.6 kB view details)

Uploaded CPython 3.8

occuspytial-0.1.0a0-cp37-cp37m-manylinux2014_x86_64.whl (744.2 kB view details)

Uploaded CPython 3.7m

occuspytial-0.1.0a0-cp36-cp36m-manylinux2014_x86_64.whl (731.8 kB view details)

Uploaded CPython 3.6m

File details

Details for the file occuspytial-0.1.0a0.tar.gz.

File metadata

  • Download URL: occuspytial-0.1.0a0.tar.gz
  • Upload date:
  • Size: 192.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5

File hashes

Hashes for occuspytial-0.1.0a0.tar.gz
Algorithm Hash digest
SHA256 8b96400fa6b2bb8ebb2f613889c3c90b0e4b32b58ad8bd01c98d59c1721c54e8
MD5 09b4495e8181f33c9744ce8ffb879e12
BLAKE2b-256 e01529b33bd6ddf9bc3afddd097a08a3fa840f662d0f8059fc52ea326232f813

See more details on using hashes here.

File details

Details for the file occuspytial-0.1.0a0-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

  • Download URL: occuspytial-0.1.0a0-cp38-cp38-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 778.6 kB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5

File hashes

Hashes for occuspytial-0.1.0a0-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 bcf5ab36028fdd5e2016562077a41778080ce01321baba927c39b6d7da77db92
MD5 e1d6f6252848ba59cf241cab00e2104f
BLAKE2b-256 a45186b15817e615af79b4bffc9c8d01e874c24d325af008cc3c9502d8adff6a

See more details on using hashes here.

File details

Details for the file occuspytial-0.1.0a0-cp37-cp37m-manylinux2014_x86_64.whl.

File metadata

  • Download URL: occuspytial-0.1.0a0-cp37-cp37m-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 744.2 kB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5

File hashes

Hashes for occuspytial-0.1.0a0-cp37-cp37m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9a1cae3b9182f0fdeedd537b8293347ae5e57addab5a69aa0a77be06fa826b06
MD5 e40fe99e9989d941f1509a85e5edb253
BLAKE2b-256 ad5e22bf7a4fa8eaa58aa8ac13987d82fad8e4f6fb117465e38ace476776f1e6

See more details on using hashes here.

File details

Details for the file occuspytial-0.1.0a0-cp36-cp36m-manylinux2014_x86_64.whl.

File metadata

  • Download URL: occuspytial-0.1.0a0-cp36-cp36m-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 731.8 kB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5

File hashes

Hashes for occuspytial-0.1.0a0-cp36-cp36m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 324b5aa733c0ad0df26c81c8e671018077c1fee2a0a0d9d5ecb469d1e278808e
MD5 6741ba2a64d4795b82b2511b7dbac226
BLAKE2b-256 b960f753ee7e3f5f930ee59212a727129f34892bb0f1435a91dddd1d4ab5aa21

See more details on using hashes here.

Release history Release notifications | RSS feed

0.2.0

1 file

0.1.0

4 files

This release

0.1.0a0 This release

4 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page