Algorithms and R codes for the pseudo empirical likelihood method in survey sampling

We present computational algorithms for the recently proposed pseudo empirical likelihood method for the analysis of complex survey data. Several key algorithms for computing the maximum pseudo empirical likelihood estimators and for constructing the pseudo empirical likelihood ratio confidence intervals are implemented using the popular statistical software R and S-PLUS. Major codes are written in the form of R/S-PLUS functions and therefore can directly be used for survey applications and/or simulation studies.