bsci | statistical bootstrap to construct confidence intervals
kandi X-RAY | bsci Summary
kandi X-RAY | bsci Summary
bsci is a Python library. bsci has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install bsci' or download it from GitHub, PyPI.
A frequentist approach to construct confidence intervals by sampling with replacement. The statistical boostrap method was first introduced by B. Efron, "Bootstrap methods: another look at the jackknife", Annals of Statistics, 1979, link to pdf. These lecture notes provide a nice entry-level introduction. More references are given in the code.
A frequentist approach to construct confidence intervals by sampling with replacement. The statistical boostrap method was first introduced by B. Efron, "Bootstrap methods: another look at the jackknife", Annals of Statistics, 1979, link to pdf. These lecture notes provide a nice entry-level introduction. More references are given in the code.
Support
Quality
Security
License
Reuse
Support
bsci has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 12 months.
bsci has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of bsci is 1.1
Quality
bsci has no bugs reported.
Security
bsci has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
bsci is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
bsci releases are not available. You will need to build from source code and install.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of bsci
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of bsci
bsci Key Features
No Key Features are available at this moment for bsci.
bsci Examples and Code Snippets
No Code Snippets are available at this moment for bsci.
Community Discussions
No Community Discussions are available at this moment for bsci.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install bsci
To install the core part of the package run. For (local) development install the dependencies with.
Play around with the model's parameters in the demo.py script.
Play around with the model's parameters in the demo.py script.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
Find more information at:
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page