Probabilistic population forecast of Serbia by 2100 following the 2012 UN projection model
Main Article Content
Abstract
Nema.
Downloads
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Published by the Institute of Social Sciences - Center for Demographic Research
References
R CORE TEAM (2013). R: A language and environment for statistical computing. (Vienna, Austria: R Foundation for Statistical Computing). http://www.R-project.org/.
ŠEVČÍKOVÁ, H (2013) bayesDem: Graphical User Interface for bayesTFR, bayesLife and bayesPop. R package version 2.3-2. http://CRAN.R-project.org/package=bayesDem
ŠEVČÍKOVÁ, H., L. ALKEMA, A. E. RAFTERY (2011). bayesTFR: An R package for probabilistic projections of the total fertility rate. Journal of Statistical Software, Vol. 43, No.1, p.1–29. http://www.jstatsoft.org/v43/i01/ DOI: https://doi.org/10.18637/jss.v043.i01
ŠEVČÍKOVÁ, H., & A. E. RAFTERY (2013a). bayesLife: Bayesian Projection of Life Expectancy. R package version 2.0-1. http://CRAN.R-project.org/package=bayesLife
ŠEVČÍKOVÁ, H., & A. E. RAFTERY (2013b). bayesPop: Probabilistic Population Projection. R package version 4.1-1. http://CRAN.R-project.org/package=bayesPop.
UN (2013). World Population Prospects: The 2012 Revision, Highlights and Advance Tables. Working Paper No. ESA/P/WP.228 (New York: United Nations, Department of Economic and Social Affairs, Population Division).