PhaseDist is a Python package for fitting continuous and discrete phase-type distributions.
Features
- Fit continuous and discrete phase-type distributions using EM algorithms.
- Fit to uncensored or censored observations.
- Impose a special case on the fitted distribution, such as the Coxian, generalized Erlang, or hyper-exponential distribution.
- Use built-in methods to check the fitted distribution.
- Compute metrics, such as the mean, density, and quantile function.
- Simulate observations from a phase-type distribution.
- Approximate another distribution, e.g. a log-normal distribution, using a phase-type distribution.
A phase-type distribution fitted using PhaseDist.
Installation
Install directly from PyPI with:
pip install phasedist
Quick start guide
The following shows how to use PhaseDist for fitting a continuous phase-type distribution from observed data.
(1) Start by loading PhaseDist (and NumPy) and defining the observed data.
import phasedist as ph
import numpy as np
obs = np.array([1.48246359,1.13468709,0.66779536,0.61823347,0.8888217,1.10124776,0.1424737,2.1228061,
1.73924933,0.9849647,1.4828275,1.97188842,2.56132465,1.58038807,1.27567082,2.7754917,1.42516854,0.4602795,
1.93701091,2.50633135,1.92906099,1.60935023,1.41949599,1.14870169,0.79146146,1.31530543,1.81352371,1.17079096,
0.78948314,1.39528837,1.62003755,1.52143826,0.46665594,1.37913488,3.10066725,0.76942733,1.42849783,1.61511175,
2.94617609,1.53719196,1.01144357,2.00466269,0.56886361,1.62237618,0.41023332,0.78733512,4.01849928,1.27761144,
1.09426382,1.36946933])
(2) Fit the data to a generalized Erlang distribution with 3 phases.
fit = ph.fit(obs=obs,
nphases=3,
dtype="generlang")
(3) Store the fitted distribution in the object phdist and compute the mean, variance, and 95% quantile.
phdist = fit.getdist()
print(phdist.getmean())
#1.455814
print(phdist.getvar())
#0.706465
print(phdist.getquantile(p=0.95))
#3.055168
Find the complete example in the file quickstart_example.py.
Documentation
The documentation can be found in the wiki for PhaseDist.
License
PhaseDist is released under the MIT License.
Metadata
Release files for phasedist 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| phasedist-0.2.0.tar.gz | 128.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| phasedist-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 180.1 kB
Release files / phasedist-0.2.0.tar.gz
| Download URL | phasedist-0.2.0.tar.gz |
|---|---|
| Size | 128.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
621cd2c72e9f11d4f49f3adfbb8e6a9ed3ef824349fc2eb1c4a462d9b7f7687f
|
|
BLAKE2b-256 checksum How to use checksums |
4a35c9154cad4b59b06109b7107dceee48d07eea86a4ef62a0c1219cdad3dafa
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 9, 2026.
Transparency logRelease files / phasedist-0.2.0-py3-none-any.whl
| Download URL | phasedist-0.2.0-py3-none-any.whl |
|---|---|
| Size | 51.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
7b503deb481cb8c87d66c692cdeb70f5092762728745207a42ec251df95bca28
|
|
BLAKE2b-256 checksum How to use checksums |
eed69d2d17b797a6a697083397210f82853a17cd7937440b884e591891ef8dc6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 9, 2026.
Transparency log