Class constructor for epidist_multivariate objects

Use this where a study published a mean vector and a covariance matrix directly, rather than draws they can be computed from. Converting the object with a family, which needs the draws themselves, is then unavailable.

Usage

new_epidist_multivariate(
  value,
  vcov,
  params,
  index = 1,
  n_draws = NA_integer_,
  draws = NULL
)

Arguments

value

A named numeric vector of the mean of each element.

vcov

The covariance matrix of value.

params

A character vector of the parameter names, in order.

index

The trajectory points, in order. Defaults to a single point.

n_draws

The number of draws value and vcov were computed from, or NA where they were published directly.

draws

A matrix of draws with one row per draw and one column per element of value, or NULL.

Value

An object of class epidist_multivariate.

See also

Other multivariate: as_epidist_multivariate(), as_epidist_multivariate.data.frame(), as_epidist_multivariate.matrix(), assert_epidist.epidist_multivariate(), is_epidist_multivariate(), print.epidist_multivariate(), vcov.epidist_multivariate()

Examples

new_epidist_multivariate(
  value = c(mean = 7.5, sd = 3.6),
  vcov = matrix(c(0.09, 0.02, 0.02, 0.04), nrow = 2),
  params = c("mean", "sd")
)
#> A multivariate representation of 2 parameters at 1 index point.
#> mean   sd 
#>  7.5  3.6 
#>      [,1] [,2]
#> [1,] 0.09 0.02
#> [2,] 0.02 0.04