randomsamp: Generate Random Boltzmann Bayes Model Data
In bbl: Boltzmann Bayes Learner

Description Usage Arguments Details Value

Predictor-response paired data are generated

1	randomsamp(predictors, response, prob = NULL, par, nsample = 100)

`predictors`	List of vectors of predictor levels
`response`	Vector of response variables
`prob`	Vector of probabilities for sampling each response group
`par`	List of `bbl` parameters for each response group; e.g., generated from calls to `randompar`.
`nsample`	Sample size

The argument response is used to set up all possible levels of response groups and likewise for predictors. The parameter argument par must have the appropriate structure consistent with response and predictors. This function is a wrapper calling sample_xi multiple times.

Data frame of response and predictor variables.

bbl documentation built on Jan. 28, 2022, 1:07 a.m.