fmt_effect: format estimated regression coefficients from a model. It is...
In bcjaeger/rpriori: A grammar for testing apriori hypotheses in R

format estimated regression coefficients from a model. It is common to present effects in terms of odds ratios, prevalence ratios, or hazard ratios by applying the exponential function (exp) to the regression coefficients. It is also common to present these ratios with 95 (i.e., conf_level = 0.95) in model summary tables.

1 2	fmt_effect(effect, std.error, transform = NULL, conf_level = NULL, reference_index = NULL, reference_label = "1 (reference)")

`effect`	a numeric vector of estimated regression coefficients
`std.error`	a numeric vector of standard error estimates corresponding to the regression coefficients in the `effect` vector.
`transform`	a function that will be applied to the values in `effect` (e.g., exponentiating to produce odds ratios).
`conf_level`	(optional) the desired confidence level for interval estimation. It is common to use `conf_level = 0.95` to produce 95 confidence intervals.
`reference_index`	(optional) If there is a referent group in the `effect` values, specify the indices of the group. For example, if `effect = c(0, 1/2, 1)` describing the relative increase in hazard for groups B and C relative to A, then `reference_index = 1`.
`reference_label`	(optional) a string indicating how the reference group will be labeled in representations of the model effects.