Prior mean

Computes mean of a prior distribution. (In case of orthonormal prior distributions for factors, the mean of for the deviations from intercept is returned.)

# S3 method for class 'prior'
mean(x, ...)

Arguments

x

a prior

...

unused

Value

a mean of an object of class 'prior'.

Details

The mean of a truncated non-normal prior is the integral of its truncated quantile function over the probability interval (0, 1). It is refused with BayesTools_numerical_unavailable when the quantile function is unavailable or the integral's estimated error exceeds 1e-6 of the interquartile range. Untruncated priors use closed forms and truncated normal priors their closed form.

See also

prior()

Examples

# create a standard normal prior distribution
p1 <- prior(distribution = "normal", parameters = list(mean = 1, sd = 1))

# compute mean of the prior distribution
mean(p1)
#> [1] 1