This short note presents the R package AdMit which provides flexible functions to approximate a certain target distribution and it provides an efficient sample of random draws from it, given only a kernel of the target density function. The estimation procedure is fully automatic and thus avoids the time-consuming and difficult task of tuning a sampling algorithm. To illustrate the use of the package, we apply the AdMit methodology to a bivariate bimodal distribution. We describe the use of the functions provided by the package and document the ability and relevance of the methodology to reproduce the shape of non-elliptical distributions.

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Erasmus School of Economics
hdl.handle.net/1765/13053
Econometric Institute Research Papers
Report / Econometric Institute, Erasmus University Rotterdam
Erasmus School of Economics

David, D., Hoogerheide, L., & van Dijk, H. (2008). The AdMit Package (No. EI 2008-17). Report / Econometric Institute, Erasmus University Rotterdam (pp. 1–7). Retrieved from http://hdl.handle.net/1765/13053