inst/shiny/mle/about.md

In jbryer/VisualStats: Visualizations for Statistical Tests

Visual Introduction to Maximum Likelihood Estimation

Author: Jason Bryer, Ph.D. [e-mail] Website: https://github.com/jbryer/visualMLE

To install the package, run:

remotes::install_github('jbryer/visualMLE')

Draft document explaining this visual approach to maximum likelihood estimation is available on Github or as a vignette.

vignette('mle', package = 'visualMLE')

To run the accompanying shiny app, execute the following command:

visualMLE::shiny_mle()

If you wish to use your own dataset, specify the df parameter:

visualMLE::shiny_mle(df = faithful)

Acknowledgments: Thanks to Bruce Dudek for comments and suggestions and to Jorge Cimentada's blog post that inspired me to build this shiny application.

jbryer/VisualStats documentation built on Feb. 27, 2025, 6:19 p.m.