pyPM.ca population modeller
Project description
The pyPM.ca population modeller (www.pyPM.ca) describes connected systems with discrete-time difference equations. It was developed specifically to understand and characterize the CoViD-19 epidemic.
A pyPM.ca model is built by connecting a set of population objects with connector objects. The connectors represent either a transfer that occurs immediately at the next time step or one which is delayed and distributed in time. Each population object retains a record of its size at each time step, and also maintains a list of future contributions, arising from delayed transfers from other populations. Calculations of population size are done either in terms of expectation values or simulated data, allowing the model to be used for both analysis and simulation.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file pypmca-0.2.21.tar.gz.
File metadata
- Download URL: pypmca-0.2.21.tar.gz
- Upload date:
- Size: 96.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 7db6bd5405110fed9d118a990fd857aa1a970d38bfa7aff1d7292523f20e31d4 |
|
| MD5 | 3aa35c5a70627cce93da60d6974c4aca |
|
| BLAKE2b-256 | 25c892d40f82da1eeb7dd0fc94458b21a2fc4fd7480f8b757d65fcbfd6da9697 |
File details
Details for the file pypmca-0.2.21-py3-none-any.whl.
File metadata
- Download URL: pypmca-0.2.21-py3-none-any.whl
- Upload date:
- Size: 89.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 74cbcfd5c6f81096da5fc4de3387b93c23a7c64a532c29f9f231671adc9c831a |
|
| MD5 | 802d0c2f41dc45900446a69b76f0b96e |
|
| BLAKE2b-256 | 7f580542cc45d8858a23ff54bca1a8f64c28c7c62bf4a07d07e35a39a663eb03 |
