Performs sensitivity analysis for multiple models, where parameters are stored in a data frame. It calculates the amount of bias required to invalidate or sustain an inference for each case in the data frame.
Arguments
- d
A data frame or tibble containing t-statistics and associated degrees of freedom.
- t
Column name or vector of t-statistics.
- df
Column name or vector of degrees of freedom associated with t-statistics.
- alpha
Significance level for hypothesis testing.
- tails
Number of tails for the test (1 or 2).
- return_plot
Whether to return a plot of the percent bias (default is `FALSE`).
Examples
if (FALSE) { # \dontrun{
mkonfound_ex
str(d)
mkonfound(mkonfound_ex, t, df)
} # }