| get.highest.density.intervals | R Documentation |
Get highest-density intervals (confidence/credible intervals) for the variables in a distribution
get.highest.density.intervals(dist, coverage = 0.95, n.sim = 1000)
dist |
An object of class Distribution or a subclass |
coverage |
A vector of probabilities (from 0 to 1) which the intervals should cover |
n.sim |
If the values are to be calculated by random sample generation, how many random samples to generate |
Note to developers: This function should not be overridden directly. Insteady override do.get.highest.density.intervals
If length(coverage)==1, and the distribution has one variable, returns a numeric vector with two values: the lower and upper bound of the interval. If length(coverage)==1 and the distribution has more than one variable, returns a matrix with one row for the lower bound and one row for the upper, and one column for each variable. If length(coverage)>1 and the distribution has one variable, returns a matrix with one row for the lower bound and one row for the upper bound, and one column for each value in coverage. If length(coverage)>1, and the distribution has more than one variable returns a 3-dimensional array; the first dimension has values 'lower' and 'upper'. The second dimension has one value for each variable. The third dimension has one value for each value of coverage.
get.equal.tailed.intervals, get.highest.density.intervals
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