Propagate ACS uncertainty for a sum.

Propagate ACS uncertainty for a sum.

Usage

acs_sum(estimates, moes, cov = NULL, conf = 0.9)

Arguments

estimates

Numeric estimates to sum.

moes

Numeric MOEs corresponding to estimates.

cov

Optional covariance matrix on the standard-error scale. A scalar is interpreted as a common off-diagonal covariance.

conf

Confidence level associated with input and output MOEs.

Value

A one-row data frame with estimate, moe, and se.

Details

A scalar cov is a covariance, not a correlation. In contrast, acs_aggregate(cov_strategy = "constant") accepts a scalar correlation because that interface derives covariances from group-specific MOEs.

Examples

acs_sum(c(100, 50, 25), c(12, 8, 6))
#>   estimate     moe       se
#> 1      175 15.6205 9.496589
acs_sum(c(100, 50), c(12, 8), cov = 5)
#>   estimate      moe       se
#> 1      150 15.33152 9.320901