Description Usage Arguments Details Value References
Calculate the covariance matrix for a vector of estimates of the form fn(L * x/n)
using unstratified (JK1) or stratified (JKn) jackknife calculation removing a
single cluster at a time. The calculation assumes infinite population sampling.
1 
x 

n 

strataid 
integer or factor vector consisting of id for each strata. Optional, length should be number of columns of x if supplied. 
L 

fn 
function to transorm ratio x/n. 
If strataid
is provided, then the stratified (JKn) covariance is calculated, while
if strataid = NULL
then the unstratified (JK1) covariance is calculated. The
latter corresponds to the unstratified jackknife covariance reported in DHS survey
reports. The calculations are equivalent for strataid = rep(1, ncol(x))
.
a data frame with q
rows consisting of estimates calculated as
fn(L * rowSums(x) / rowSums(n) )
, standard error, and 95% CIs calculated
on the untransformed scale and then transformed. The covariance matrix is
returned as the "var"
attribute and can be accessed by vcov(val)
.
Pedersen J, Liu J (2012) Child Mortality Estimation: Appropriate Time Periods for Child Mortality Estimates from Full Birth Histories. PLoS Med 9(8): e1001289. https://doi.org/10.1371/journal.pmed.1001289.
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