Visual Introduction to Maximum Likelihood Estimation
Author: Jason Bryer, Ph.D. jason.bryer@cuny.edu 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.