Meta-Analysis and Sensitivity Analysis for Multiple Studies

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.

Usage

mkonfound(d, t, df, alpha = 0.05, tails = 2, return_plot = FALSE)

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`).

Value

Depending on `return_plot`, either returns a data frame with analysis results or a plot.

Examples

if (FALSE) { # \dontrun{
mkonfound_ex
str(d)
mkonfound(mkonfound_ex, t, df)
} # }