f_test_BFF {BFF} | R Documentation |

## f_test_BFF

### Description

f_test_BFF constructs BFFs based on the t test. BFFs depend on hyperparameters r and tau^2 which determine the shape and scale of the prior distributions which define the alternative hypotheses. By setting r > 1, we use higher-order moments for replicated studies. Fractional moments are set with r > 1 and r not an integer. All results are on the log scale.

### Usage

```
f_test_BFF(
f_stat,
n,
df1,
df2,
omega = NULL,
omega_sequence = if (is.null(omega)) seq(0.01, 1, by = 0.01),
r = 1
)
```

### Arguments

`f_stat` |
T statistic |

`n` |
sample size (if one sample test) |

`df1` |
sample size of group one for two sample test. |

`df2` |
sample size of group two for two sample test |

`omega` |
standardized effect size. For the f-test, this is often called Cohen's f (can be a single entry or a vector of values) |

`omega_sequence` |
sequence of standardized effect sizes. If no omega is provided, omega_sequence is set to be seq(0.01, 1, by = 0.01) |

`r` |
variable controlling dispersion of non-local priors. Default is 1. |

### Value

Returns an S3 object of class 'BFF' (see 'BFF.object' for details).

### Examples

```
fBFF = f_test_BFF(f_stat = 1.5, n = 50, df1 = 25, df2 = 48)
fBFF
plot(fBFF)
```

*BFF*version 4.2.1 Index]