m_stats
A statistics and probability library for Python; which includes functions to make operations of:
- Probability distributions
- Confidence intervals estimation
- Hypothesis testing
- ANOVA (Analysis of variance)
- Simple linear regression
- Multiple regression
- Time series
And also includes functions to:
- Graph distributions
- Graph hypothesis tests
- Graph linear regressions
To use and explore the library, you can install it with PyPi.
$ pip install m_stats
And then import it into your files.
import m_stats as ms
And to use its functionalities, you should access to them in this way:
ms.linregr.regression(x, y)
Metadata
Release files for m-stats 0.1.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| m_stats-0.1.4.tar.gz | 10.9 kB | Without provenance | Details |
Release files / m_stats-0.1.4.tar.gz
| Download URL | m_stats-0.1.4.tar.gz |
|---|---|
| Size | 10.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
e7076223d371b7865687a4effcacd83daf87ef8d7edf88a69bba37600512668d
|
|
BLAKE2b-256 checksum How to use checksums |
321e3d214a0204cdc75fb252da01fe0ab0992330d94d2a22b55a48e8f13da021
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.13.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.2.0 requests-toolbelt/0.9.1 tqdm/4.26.0 CPython/3.7.0
|
Security for m-stats 0.1.4
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.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.