Statistical Computing with R by Maria L. Rizzo, Rizzo Maria

Statistical Computing with R



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Statistical Computing with R Maria L. Rizzo, Rizzo Maria ebook
Publisher: Taylor & Francis
Page: 416
Format: pdf
ISBN: 9781584885450


May 1, 2014 - Computational Statistics & Data Analysis, 56(9):2816 - 2829. May 7, 2014 - Applied Bayesian Modeling Advanced Time Series The R Statistical Computing Environment. (This is not to say that CRAN doesn't need improvement. Multivariate Techniques Multivariate Statistical methods. Scaling and Dimensional Analysis Intro & Advanced Network Analysis. Modeling and evaluating insurance losses via mixtures of Erlang distributions. It needs much better indexing, and But I believe it is fair to say that for parallel computing, R beats Python and Julia. Nov 15, 2012 - In A Capitalist's Dilemma, Whoever Wins on Tuesday, Clayton Christensen lays out three kinds of innovations through which an industry cycles: Empowering. I particularly like the author's argument regarding the vital role of Rcpp in the future development of the R ecosystem. May 21, 2014 - Not only does R have a gigantic head start, but also there is the point that statistics simply is not Python's or Julia's central mission; the incentives to get that big in data science just aren't there, I believe. North American Actuarial Journal, 14(1):107. May 20, 2014 - R vs Python: Why R is still the king of statistical computing.





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