Do likelihood based parameter estimation using maximum likeihood and bayesian methods
Project description
dataprob
Library for calculating the probability of data (the likelihood) to extract parameter estimates for models describing experimental data. Can do maximum likelihood, bootstrap, and Bayesian sampling using a consistent API.
Docs in progress. See examples/example-fit.ipynb
for basic demonstration
of the API.
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
dataprob-0.1.1.tar.gz
(17.7 kB
view hashes)
Built Distribution
Close
Hashes for dataprob-0.1.1-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 88af3773ff330359bef52cdb5aabcc801c9ee47a10686fa4becc2d71c3a3895c |
|
MD5 | 75965f71b6dd32c2dc1953e68f8c06d8 |
|
BLAKE2b-256 | 8615d39a92cb44680390fff0bc364d9286d644dae9a2a240a798a7f70a15f19d |