# bain_sensitivity: Sensitivity analysis for bain In bain: Bayes Factors for Informative Hypotheses

## Description

Conducts a sensitivity analysis for `bain`.

## Usage

 `1` ```bain_sensitivity(x, hypothesis, fractions = 1, ...) ```

## Arguments

 `x` An R object containing the outcome of a statistical analysis. Currently, the following objects can be processed: `lm()`, `t_test()`, `lavaan` objects created with the `sem()`, `cfa()`, and `growth()` functions, and named vector objects. See the vignette for elaborations. `hypothesis` A character string containing the informative hypotheses to evaluate. See the vignette for elaborations. `fractions` A number representing the fraction of information in the data used to construct the prior distribution. The default value 1 denotes the minimal fraction, 2 denotes twice the minimal fraction, etc. See the vignette for elaborations. `...` Additional arguments passed to `bain`.

## Details

The Bayes factor for equality constraints is sensitive to a scaling factor applied to the prior distribution. The argument `fraction` adjusts this scaling factor. The function `bain_sensitivity` is a wrapper for `bain`, which accepts a vector for the `fractions` argument, and returns a list of bain results objects. A table with a sensitivity analysis for specific statistics can be obtained using the `summary()` function, which accepts the argument `summary(which_stat = ...)`. The available statistics are elements of the `\$fit` table (Fit_eq, Com_eq, Fit_in, Com_in, Fit, Com, BF, PMPa, and PMPb), and elements of the `BFmatrix`, which can be accessed by matrix notation, e.g.: `summary(bain_sens, which_stat = "BFmatrix[1,2]")`.

## Value

A `data.frame` of class `"bain_sensitivity"`.

## Examples

 ```1 2 3 4 5 6 7 8``` ```sesamesim\$site <- as.factor(sesamesim\$site) res <- lm(sesamesim\$postnumb~sesamesim\$site-1) set.seed(4583) bain_sens <- bain_sensitivity(res, "site1=site2; site2>site5", fractions = c(1,2,3)) summary(bain_sens, which_stat = "BF.c") summary(bain_sens, which_stat = "BFmatrix[1,2]") ```

bain documentation built on Nov. 27, 2021, 1:06 a.m.