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