Not usually called directly. Included in `boot_predict`

. Usually used in combination with A function that takes the output from ```
summary_factorlist(...,
fit_id=TRUE)
```

and merges with any number of model dataframes, usually
produced with a model wrapper followed by the `fit2df()`

function
(see examples).

```
boot_compare(
bs.out,
confint_level = 0.95,
confint_sep = " to ",
comparison = "difference",
condense = TRUE,
compare_name = NULL,
digits = c(2, 3),
ref_symbol = 1
)
```

- bs.out
Output from

`boot::boot`

,- confint_level
The confidence level to use for the confidence interval. Must be strictly greater than 0 and less than 1. Defaults to 0.95, which corresponds to a 95 percent confidence interval.

- confint_sep
String separating lower and upper confidence interval

- comparison
Either "difference" or "ratio".

- condense
Logical. FALSE gives numeric values, usually for plotting. TRUE gives table for final output.

- compare_name
Name to be given to comparison metric.

- digits
Rounding for estimate values and p-values, default c(2,3).

- ref_symbol
Reference level symbol

A dataframe of first differences or ratios for boostrapped distributions of a metric of interest.

`finalfit`

predict functions

```
# See boot_predict.
```