clubsandwich | A BearLibTerminal framework for Python | Application Framework library

by irskep Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | clubsandwich Summary

clubsandwich is a Python library typically used in Server, Application Framework, Framework applications. clubsandwich has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

A BearLibTerminal framework for Python 3

Support

Quality

Security

License

Reuse

Support

clubsandwich has a low active ecosystem.

It has 58 star(s) with 14 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 7 have been closed. On average issues are closed in 31 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of clubsandwich is current.

Quality

clubsandwich has 0 bugs and 0 code smells.

Security

clubsandwich has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

clubsandwich code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

clubsandwich 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

clubsandwich releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

clubsandwich saves you 1169 person hours of effort in developing the same functionality from scratch.

It has 2638 lines of code, 360 functions and 41 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed clubsandwich and discovered the below as its top functions. This is intended to give you an instant insight into clubsandwich implemented functionality, and help decide if they suit your requirements.

Read the next responder
Sets first responder in the view
Return True if y is in view
Sets the first responder to the first_responder
Returns the next uint value in the RNG range
Gets the next uint32 value
Advance the state
Layout subviews
Apply spruts and struts to superview
Returns a new LayoutOptions with updated updates
Draws the rectangle
Draw the bounding box
Replace a scene
Read the background color of a layer
Defines the row height
Set the Layout options for a column
Set row height
Draw a tile
Draw the given point
Draws the bounding box
Finds the closest point in candidates
Read the terminal
Load an expression from a file
Returns the farthest point of the candidate
Start the terminal
Draws the message

Get all kandi verified functions for this library.

clubsandwich Key Features

No Key Features are available at this moment for clubsandwich.

clubsandwich Examples and Code Snippets

No Code Snippets are available at this moment for clubsandwich.

Community Discussions

Trending Discussions on clubsandwich

Extract input of a function in R

R - Meta-Analysis - How to create a forest plot with robust estimates from clubSandwich functions

QUESTION

Extract input of a function in R

Asked 2022-Feb-16 at 21:04

I wonder if there might be a way to extract the input value (1:3) used in a after running object a?

...

ANSWER

Answered 2022-Feb-16 at 21:04

Looks like

Source https://stackoverflow.com/questions/71149189

QUESTION

R - Meta-Analysis - How to create a forest plot with robust estimates from clubSandwich functions

Asked 2021-Aug-14 at 15:08

I have a quick question about displaying robust estimates in a forest plot.

I am using rma.mv() from the metafor package to fit a multilevel random-effects model. For robust estimates, I use the conf_int() and coef_test() functions from the clubSandwich package. However, the forest() function from metafor only accepts objects of class rma, which are not produced by the functions for robust estimates.

Is there any way to use the forest() function to create a nice forest plot, but somehow integrate the robust overall estimate from the clubSandwich functions?

Appreciate any advice or alternative solutions!

...

ANSWER

Answered 2021-Aug-14 at 15:08

You can use forest() to plot the individual estimates and then addpoly() to add the polygon. For the latter, you just need to pull out the pooled estimate and corresponding standard error from the object returned by coef_test().

Source https://stackoverflow.com/questions/68771871

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install clubsandwich

You can download it from GitHub.
You can use clubsandwich like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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 .

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