Compute credible intervals for expected measurements

Source: R/get_expected.R

This functions uses posterior samples to quantify uncertainty in the expected measurements from fitted models.

getExpectedMeasIntervals(expectedMeas, mass = 0.9, method = c("eti", "hdi"))

Arguments

expectedMeas

A data.table of expected measurements for posterior samples, as returned by getExpectedMeas().
mass

Number between 0 and 1 indicating the probability mass for which to calculate the intervals.
method

String indicating the type of interval: 'eti' for equal-tailed using stats::quantile(), or 'hdi' for highest density using HDInterval::hdi().

Value

A data.table containing lower and upper bounds of the expected measurement for each combination of feature, time, and possibly condition and covariate.

See also

getExpectedMeas(), getStatsIntervals()