0.2 of the
rsae package has been published on May 24, 2022; see release notes: NEWS.
The rsae package is an R (R Core Team, 2022) package that provides functions to estimate the parameters of the basic unit-level model in small area estimation (also known as model type "B" in Rao, 2003, or nested-error regression model in Battese et al., 1988).
In step 1, the model is fitted by one of the methods:
In step 2, the area-specific means are predicted using the empirical best linear unbiased predictor (EBLUP) or a robust prediction method due to Copt and Victoria-Feser (2009). In addition, the mean square prediction error of the area-specific means can be computed by a parametric bootstrap.
The package can be installed from CRAN using