Add mean and mode of the distribution to the plot. The default argument can be set to FALSE.

We need to write documentation for plot_poisson_gamma.

I don't know if this is necessary, but just to be consistent it might be good to have this function too.

All Beta Binomial functions are ready and can be communicated to the user better.

Add mean and mode of the distribution to the plot. The default argument can be set to FALSE.

Add Alicia's functions from index.Rmd

We need to decide on these

We need to decide on what license we want to release our package under.

Couple of options:

openintro was released with GPL-3
infer was released with CC0
ggplot2 is also on the GLP boat but was released with GPL-2

Also wiki makes these license comparisons

https://en.wikipedia.org/wiki/Comparison_of_free_and_open-source_software_licenses

Do we have any track of how art_sample data was sampled?

Improve documentation
Make arguments of all functions consistent

This vignette should show usage of plot_beta, summarize_beta, plot_beta_binomial, and summarize_beta_binomial functions

Make summarize_beta() function that outputs mean, mode, and variance, for given alpha and beta.

We need to write documentation for summarize_beta_binomial

https://github.com/allisonhorst/palmerpenguins

We need to create a function that takes alpha and beta values and outputs a beta pdf.

Use https://github.com/clauswilke/colorblindr to make changes to plots.

I am moving this issue from the book to the package. Alicia had self-assigned this issue in the book repo thus assigning this to her in the package too. I can also take a look at it when I find the time and this is a priority.

Currently I do not have color blind students in class. Alicia please let me know if you do.

Add bechdel data frame.

Make a separate function for plotting likelihood.

We need to write documentation for plot_beta_binomial.

e.g. plot_poisson_gamma(100,20, sum_x = 39, n =6) does not show all of likelihood.

Or if there is another way can you let me know?

Thanks!

See further details in the book repo

Just a minor typo in the data frame column name :)

We need to write documentation for summarize_poisson_gamma

the x axis for plot normal is
\theta and the y axis if f(\theta), but when I want to plot the prior distribution for \mu (in chapter 5) it should be for \mu instead of \theta... I know this is minor but I think it might be confusing for the students.

For some really odd reason, this stopped working for me and broke the book. I updated ggplot(NULL... to ggplot(data.frame(.... See the index.rmd.