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# Iacus S. M. Simulation and Inference for Stochastic Differential Equations: With R Examples. — Springer, 2008. — 286 pp. — (Springer Series in Statistics ; 1). — ISBN 978-0-387-75838-1. — DOI: 10.1007/978-0-387-75839-8. — URL: http://git.psylab.info/r-books/downloads/Iacus2008.pdf.
# Iacus S. M. Option Pricing and Estimation of Financial Models with R. — Wiley, 2011. — 472 pp. — ISBN 978-0-470-74584-7. — URL: http://git.psylab.info/r-books/downloads/Iacus2011.pdf.
# Implementing Reproducible Research / ed. by V. Stodden, F. Leisch, R. D. Peng. — Chapman, Hall/CRC, 2014. — 448 pp. — (Chapman & Hall/CRC The R Series). — ISBN 978-1-4665-6159-5. — DOI: 10.1201/b16868. — URL: http://git.psylab.info/r-books/downloads/Stodden2014.pdf; http://git.psylab.info/r-books/downloads/Stodden2014.zip.
# Interval-Censored Time-to-Event Data: Methods and Applications / ed. by D.-G. Chen, J. Sun, K. E. Peace. — Chapman, Hall/CRC, 2012. — 426 pp. — (Chapman & Hall/CRC Biostatistics Series ; 52). — ISBN 978-1-4665-0428-8. — URL: http://git.psylab.info/r-books/downloads/Chen2012.pdf.
# Introduction to R for Quantitative Finance / G. Daróczi [et al.]. — Packt Publishing, 2013. — 164 pp. — ISBN 978-1-78328-093-3. — URL: http://git.psylab.info/r-books/downloads/DarocziPuhle2013.pdf; http://git.psylab.info/r-books/downloads/DarocziPuhle2013.zip.
# 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/Dudoit2008.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.
# Pace L. Beginning R: An Introduction to Statistical Programming. — Apress, 2012. — 336 pp. — ISBN 978-1-4302-4554-4. — URL: http://git.psylab.info/r-books/downloads/Pace2012.pdf; http://git.psylab.info/r-books/downloads/Pace2012.zip.
# Paradis E. Analysis of Phylogenetics and Evolution with R. — 2nd ed. — Springer, 2012. — 404 pp. — (Use R!) — ISBN 978-1-4614-1742-2. — DOI: 10.1007/978-1-4614-1743-9. — URL: http://git.psylab.info/r-books/downloads/Paradis2012.pdf.
# Peng R. D., Dominici F. Statistical Methods for Environmental Epidemiology with R: A Case Study in Air Pollution and Health. — Springer, 2008. — 144 154 pp. — (Use R!) — ISBN 978-0-387-78166-2. — DOI: 10.1007/978-0-387-78167-9. — URL: http://git.psylab.info/r-books/downloads/PengDominici2008Peng2008.pdf.
# Petris G., Petrone S., Campagnoli P. Dynamic Linear Models with R. — Springer, 2009. — 252 pp. — (Use R!) — ISBN 978-0-387-77237-0. — DOI: 10.1007/b135794. — URL: http://git.psylab.info/r-books/downloads/Petris2009.pdf; http://git.psylab.info/r-books/downloads/Petris2009.zip.
# Pfaff B. Analysis of Integrated and Cointegrated Time Series with R. — 2nd ed. — Springer, 2008. — 190 pp. — (Use R!) — ISBN 978-0-387-75966-1. — DOI: 10.1007/978-0-387-75967-8. — URL: http://git.psylab.info/r-books/downloads/Pfaff2008.pdf; http://git.psylab.info/r-books/downloads/Pfaff2008.zip.
