ebb_prior_tidiers: Tidy the results of beta-binomial estimation

In dgrtwo/ebbinom: Empirical Bayes on binomial data

Description

Tidiers for ebb_prior objects, which store hyperparameters for a prior fit on some binomial data.

Usage

## S3 method for class 'ebb_prior'
tidy(x, ...)

## S3 method for class 'ebb_prior'
augment(x, data, cred_level = 0.95, newdata = NULL, ...)

## S3 method for class 'ebb_prior'
glance(x, ...)

Arguments

x	An object of class "ebb_prior", representing a beta-binomial distribution.
...	Extra arguments (not used)
data	For augment, the original data that should be appended to.
cred_level	For augment, the level of the credible intervals for each observation. If NULL, do not add credible intervals.
newdata	For augment, a new data set.

Value

augment returns the original data frame, with additional columns corresponding to the new posterior parameters of each observation.

glance works only on ebb_prior objects fit with "mm" or "mle": that is, those that have a single alpha and beta for the entire dataset. It returns those parameters:

alpha	Estimated alpha (shape1) parameter
beta	Estimated beta (shape2) parameter
mean	alpha / (alpha + beta): the prior mean

dgrtwo/ebbinom documentation built on May 15, 2019, 7:23 a.m.