jmcm 0.1.4
pip install jmcm==0.1.4
Newer version available (0.1.5)
Released:
A statistical package for fit the joint mean-covariance models
Navigation
Unverified details
These details have not been verified by PyPIProject links
Meta
- License: MIT License
- Author: Xuerui Yang
- Requires: Python >=3.7
Classifiers
- License
- Operating System
- Programming Language
Project description
jmcm
Description
jmcm is an open-source Python package for fitting the joint mean-covariance models for longitudinal data.
It provides:
- function to estimate parameters for the mean, innovation variance, and generalised auto-regressive coefficient
- function to do the Wald hypothesis tests to check the significance of the parameters
- model selection procedures
- bootstrap method to plot the curves for the mean, innovation variance, and generalised auto-regressive coefficient
Source code
https://github.com/Xuerui-Yang/jmcm
Installation
pip install jmcm
Project details
Unverified details
These details have not been verified by PyPIProject links
Meta
- License: MIT License
- Author: Xuerui Yang
- Requires: Python >=3.7
Classifiers
- License
- Operating System
- Programming Language
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 jmcm-0.1.4.tar.gz
.
File metadata
- Download URL: jmcm-0.1.4.tar.gz
- Upload date:
- Size: 10.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 090340fe945160f5c948ad845fd54e285beb01a54b1613653dc5bcf3b31602c9 |
|
MD5 | 5e44c236616b422540bf856f18f9f399 |
|
BLAKE2b-256 | 082b36884c3bcf6a293521b9ac7e94c9697f14b30735667b9c2b8b260827e0a5 |
File details
Details for the file jmcm-0.1.4-py3-none-any.whl
.
File metadata
- Download URL: jmcm-0.1.4-py3-none-any.whl
- Upload date:
- Size: 13.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | d3a1a936eac2879476b4fd6b1a7784411535bff437c3f5195e8c3fc9baee139c |
|
MD5 | 6f4d333864ed6a590953f1e035f04073 |
|
BLAKE2b-256 | 9e6f1b6dd23cc9445e9ccfb4d2fa35a26d9abdbf962d6f3f6fa38735534914c2 |