fungible {configural} | R Documentation |

Generates fungible regression weights (Waller, 2008) and related results using the method by Waller and Jones (2010).

```
fungible(
object,
theta = 0.005,
Nstarts = 1000,
MaxMin = c("min", "max"),
silent = FALSE,
...
)
```

`object` |
A fitted model object. Currently supported classes are: "cpa" |

`theta` |
A vector of values to decrement from R-squared to compute families of fungible coefficients. |

`Nstarts` |
Maximum number of (max) minimizations from random starting configurations. |

`MaxMin` |
Should the cosine between the observed and alternative weights be maximized ("max") to find the maximally similar coefficients or minimized ("min") to find the maximally dissimilar coefficients? |

`silent` |
Should current optimization values be printed to the console ( |

`...` |
Additional arguments |

A list containing the alternative weights and other fungible weights estimation parameters

Niels Waller, Jeff Jones, Brenton M. Wiernik. Adapted from `fungible::fungibleExtrema()`

.

Waller, N. G. (2008).
Fungible weights in multiple regression.
*Psychometrika, 73*(4), 691–703. doi: 10.1007/s11336-008-9066-z

Waller, N. G., & Jones, J. A. (2009).
Locating the extrema of fungible regression weights.
*Psychometrika, 74*(4), 589–602. doi: 10.1007/s11336-008-9087-7

```
mind <- cpa_mat(mindfulness ~ ES + A + C + Ex + O,
cov_mat = mindfulness$r,
n = harmonic_mean(vechs(mindfulness$n)),
se_var_mat = cor_covariance_meta(mindfulness$r,
mindfulness$n,
mindfulness$sevar_r,
mindfulness$source),
adjust = "pop")
mind_fung <- fungible(mind, Nstarts = 100)
```

[Package *configural* version 0.1.4 Index]