Description Usage Arguments Value See Also Examples

`qcapower`

allows you to estimate power for a term. Probability
is the probability of rejecting the null hypothesis that no set relation
is in plaace when it is in place, in fact. A term can be a single condition,
a conjunction, or a disjunction of any combination of the two.

1 2 3 4 5 6 7 8 9 10 | ```
qcapower(
cases,
null_hypo,
alt_hypo,
sims = 1000,
perms = 10000,
alpha = 0.05,
cons_threshold = 0.01,
set_seed = 135
)
``` |

`cases` |
Number of cases. In fuzzy-set QCA, equal to total number of cases in the analysis |

`null_hypo` |
Null hypothesis ( |

`alt_hypo` |
Alternative hypothesis ( |

`sims` |
Number of simulations for calculating power |

`perms` |
Number of permutations of hypothetical dataset per simulation run |

`alpha` |
Level of alpha at which statistical significance of H0 is tested |

`cons_threshold` |
Degree of tolerance in generating hypothetical data
with consistency equaling |

`set_seed` |
Parameter for achieving reproducibility of estimate |

A dataframe with rows equaling the number of `sims`

.
`power`

is the power estimate and is identical for each rows.
`powercum`

is the running power estimate up to this row. `quant`

is the 5%-quantile of the permuted distributions. See the vignette for
more information.

1 2 |

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