Description Usage Arguments Details Value Examples
View source: R/BetaBinomial_Distribution.R
make_betabinom()
creates an object that allows for analysis assuming
a binomial distribution.
1 |
... |
A comma separated list of predictors that will be used in the model, given as unquoted expressions. 1 if fitting an intercept only model |
The returned tibble can be row bound with other objects from the
make_distribution()
functions. Then multiple models can be worked
with at once.
This tibble is the input for set_priors()
and fit_model()
functions.
A tibble with one row. The tibble will contain information stating that it is a beta binomial model and will contain the right hand side of a model formula by creating a linear combination of predictors
1 2 3 | make_betabinom(1)
make_betabinom(x)
make_betabinom(x, y)
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