# Boostrapped Assessment

### Description

This function performs the the Bootstrapped Assessment for QCA (baQCA) on a given QCA model object.

### Usage

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### Arguments

`mod` |
name of the QCA eqmcc model object. |

`sim` |
the number of simulations the baQCA function should run. Default set to |

`include` |
[from QCAGUI package] “A vector of additional output function values to be included in the minimization.” Default set to |

`row.dom` |
[from QCAGUI package] “Logical, impose row dominance as constraint on solution to eliminate dominated inessential prime implicants.” Default set to |

`omit` |
[from QCAGUI package] “A vector of configuration index values or matrix of configurations to be omitted from minimization.” Default set to |

`dir.exp` |
[from QCAGUI package] “A vector of directional expectations for deriving intermediate solutions.” Default set to |

### Value

After some time, this function returns the probability that the data will return a random result given the parameters set by the researcher in the model (configurational n threshold, consistency score threshold, etc), as well a confidence interval around this value. This value is interpreted similarly to a p-value, i.e. a .05 value coincides with a 95% "confidence level."

### Examples

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