symbolic-compartmental-model
A symbolic package based on SymPy for simulating and fitting Compartmental Models (CMs).
Overview
Symbolic Compartmental Model is a python package for constructing, simulating, and fitting
compartmental models. It is based on the symbolic calculations package sympy but can
also perform numerical calculations.
Current Features
- Defining a CM based on the contributed turnovers (M-matrix) and observed pool sizes
- Optionally include symbolic parameters and set their bounds for later fitting
- Several fitting functions, including single/multiple pools and mass balance constraints (optional)
- Both numerical and symbolic outputs for dynamic parameters: age, residence time, decay rate, etc.
- Plotting of simulated data
Getting started
- To fit a model without installing anything, use the browser app: Fit compartmental models online. It loads your data, fits it, and lets you download the results — everything runs locally in your browser and nothing is uploaded.
- For installing the package in your current python environment, can simply
pip install symbolic-compartmental-model. - The package documentation can be found on ReadTheDocs.
1 maintainer
Metadata
1 maintainer
Release files for symbolic-compartmental-model 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| symbolic_compartmental_model-0.3.0.tar.gz | 54.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| symbolic_compartmental_model-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 117.4 kB
Release files / symbolic_compartmental_model-0.3.0.tar.gz
| Download URL | symbolic_compartmental_model-0.3.0.tar.gz |
|---|---|
| Size | 54.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
390f8244ad3e1d0af6005d8ec8c91ae6f4e879ea2a60327de227acc4535c3bd5
|
|
BLAKE2b-256 checksum How to use checksums |
84f19b48f6d1e8e6573bf290ec3aa2dbcf291fd711500f93e711b8adcad0333a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.15
|
Release files / symbolic_compartmental_model-0.3.0-py3-none-any.whl
| Download URL | symbolic_compartmental_model-0.3.0-py3-none-any.whl |
|---|---|
| Size | 63.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
577f4983b1f3470db971a02cc5b09d3c5e76627c56177f3d245e9b6063dbb151
|
|
BLAKE2b-256 checksum How to use checksums |
2aa6efaf0cefb0dd1b84378573ec2d12414025548c0d175d95c0b671095c470d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.15
|
