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_sep = " to ", comparison = "difference",
condense = TRUE, compare_name = NA, digits = c(2, 3),
ref_symbol = 1)

## Arguments

bs.out Output from boot::boot, String separating lower and upper confidence interval Either "difference" or "ratio". Logical. FALSE gives numeric values, usually for plotting. TRUE gives table for final output. Name to be given to comparison metric. Rounding for estimate values and p-values, default c(2,3). Reference level symbol

## Value

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

finalfit predict functions

boot_predict finalfit_newdata
# See boot_predict.