equatiomatic | Convert models to LaTeX equations | Natural Language Processing library

by datalorax R Version: cran-v0.3 License: CC-BY-4.0

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | equatiomatic Summary

equatiomatic is a R library typically used in Artificial Intelligence, Natural Language Processing, Transformer, Latex applications. equatiomatic has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

The goal of equatiomatic is to reduce the pain associated with writing LaTeX code from a fitted model. In the future, the package aims to support any model supported by broom. See the introduction to equatiomatic for currently supported models.

Support

Quality

Security

License

Reuse

Support

equatiomatic has a low active ecosystem.

It has 592 star(s) with 40 fork(s). There are 11 watchers for this library.

It had no major release in the last 12 months.

There are 27 open issues and 77 have been closed. On average issues are closed in 132 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of equatiomatic is cran-v0.3

Quality

equatiomatic has no bugs reported.

Security

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

License

equatiomatic is licensed under the CC-BY-4.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

equatiomatic releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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equatiomatic Key Features

No Key Features are available at this moment for equatiomatic.

equatiomatic Examples and Code Snippets

No Code Snippets are available at this moment for equatiomatic.

Community Discussions

Trending Discussions on equatiomatic

Equatiomatic: lmer model "subsript out of bounds"

Latex equation not rendering correctly in shiny

equatiomatic: Regression Model with hat on dependent variable and no epsilon

QUESTION

Equatiomatic: lmer model "subsript out of bounds"

Asked 2021-Jun-14 at 20:36

I am trying the equatiomatic package to plot my lmer model.

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ANSWER

Answered 2021-Jun-14 at 20:36

I'm the developer of that package. It should work with lme4::lmer() equations. The issue here is with dropping the intercept but having it vary randomly at higher levels. See this issue for more details.

If you have suggestions for how you would expect the equation to render, I'm open to working out a fix. But for now, equatiomatic::extract_eq() assumes that whatever random effects you have also have corresponding fixed effects.

Source https://stackoverflow.com/questions/67966270

QUESTION

Latex equation not rendering correctly in shiny

Asked 2021-Mar-29 at 05:36

I want to display a latex equation in a shiny application. I saw an example where mathjax is used to display latex equations. But for some reason the equation generated from equatiomatic package does not display correctly. Following is a reproducible example:

...

ANSWER

Answered 2021-Mar-29 at 05:36

Interesting, it seems like shiny is expecting the equation as raw character string. Hence it is missing a \ for all Latex operators.

One (not very pretty) way to fix it would be:

Source https://stackoverflow.com/questions/66848850

QUESTION

equatiomatic: Regression Model with hat on dependent variable and no epsilon

Asked 2021-Feb-01 at 13:06

The following code provides the Regression Model Equation to be used in knitr.

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ANSWER

Answered 2021-Feb-01 at 13:06

In the latest version of equatiomatic (0.2.0.9000), the function extract_eq along with use_coefs = TRUE argument gives the desired output.

Source https://stackoverflow.com/questions/65796427

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

Vulnerabilities

No vulnerabilities reported

Install equatiomatic

Install from CRAN with. Or get the development version from GitHub with.

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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