Description Usage Arguments Value Examples
Obtain the quantile based on a sampled posterior
1 | qtlFromQuantile(data, probs, type = 4)
|
data |
a tibble containing the MCMC samples from which the quantile should be estimated |
probs |
a vector containing the required quantiles |
type |
the quantile type to be returned. See the help for |
a vector containing the quantiles obtained from the Value column in
data
1 2 3 | b <- createBerryData()
m <- fitBinomialModel(b$Subjects, b$Events) %>% dplyr::filter(Index==10)
qtlFromQuantile(m, c(0.1, 0.2, 0.8, 0.9))
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