tidy.perf_mod: Extract Posterior Distributions for Models

Description Usage Arguments Details Value Examples

Description

tidy can be used on an object produced by perf_mod() to create a data frame with a column for the model name and the posterior predictive distribution values.

Usage

1
2
## S3 method for class 'perf_mod'
tidy(x, seed = sample.int(10000, 1), ...)

Arguments

x

An object from perf_mod()

seed

A single integer for sampling from the posterior.

...

Not currently used

Details

Note that this posterior only reflects the variability of the groups (i.e. the fixed effects). This helps answer the question of which model is best for this data set. If does not answer the question of which model would be best on a new resample of the data (which would have greater variability).

Value

A data frame with the additional class "posterior"

Examples

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
# Example objects from the "Getting Started" vignette at
#  https://topepo.github.io/tidyposterior/articles/Getting_Started.html

# File for pre-run model is at
ex_dat <- "https://bit.ly/2OJdvl1"

# load(load(url(ex_dat))

# roc_model
# posterior_values <- tidy(roc_model)
# head(posterior_values)
# class(posterior_values)

tidyposterior documentation built on May 2, 2019, 2:49 p.m.