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# Marin J.-M., Robert C. Bayesian Essentials with R. — 2nd ed. — Springer, 2014. — 312 pp. — (Springer Texts in Statistics). — ISBN 978-1-4614-8686-2. — DOI: 10.1007/978-1-4614-8687-9. — URL: http://git.psylab.info/r-books/downloads/MarinRobert2014.pdf.
# Marques de Sá J. P. Applied Statistics Using SPSS, STATISTICA, MATLAB and R. — Springer, 2007. — 520 pp. — ISBN 978-3-540-71971-7. — DOI: 10.1007/978-3-540-71972-4. — URL: http://git.psylab.info/r-books/downloads/MarquesdeSa2007.pdf.
# Martinussen T., Scheike T. H. Dynamic Regression Models for Survival Data. — Springer, 2006. — 470 pp. — (Statistics for Biology and Health). — ISBN 978-0-387-20274-7. — DOI: 10.1007/0-387-33960-4. — URL: http://git.psylab.info/r-books/downloads/Dudoit2008Martinussen2006.pdf.
# Mathur S. K. Statistical Bioinformatics with R. — Academic Press, 2010. — 336 pp. — ISBN 978-0-12-375104-1. — URL: http://git.psylab.info/r-books/downloads/Mathur2010.pdf.
# Matloff N. The Art of R Programming: A Tour of Statistical Software Design. — No Starch Press, 2011. — 400 pp. — ISBN 978-1-59327-384-2. — URL: http://git.psylab.info/r-books/downloads/Matloff2011.pdf; http://git.psylab.info/r-books/downloads/Matloff2011.zip.
