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  1. 2024年2月29日 · R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. To download R, please choose your preferred CRAN mirror.

  2. Measures of Influential Data • Compare estimates including a particular case to the estimates without that particular case • In multilevel regression: case=group • DFbetaS: standardized difference in magnitude of single parameter estimate (Belsley et al., 1980) • Cook’s Distance: standardized summary measure of influence on (one or) ...

  3. Aug. 12 2008, useR!2008 in Dortmund, Germany. ccgarch: An R package for modelling multivariate GARCH models with conditional correlations Tomoaki Nakatani Department of Agricultural Economics Hokkaido University, Japan and Department of Economic

  4. mutagen 519 92 nonmutagen 81 391 Accuracy : 0.8403 95% CI : (0.8171, 0.8616) No Information Rate : 0.554 P-Value [Acc > NIR] : < 2.2e-16 Kappa : 0.676 Sensitivity : 0.8650 Specificity : 0.8095 Pos Pred Value : 0.8494 Neg Pred Value : 0.8284

  5. The caret package was developed to: create a unified interface for modeling and prediction (interfaces to 147 models) streamline model tuning using resampling provide a variety of “helper” functions and classes for day–to–day model building tasks increase computational e ciency using parallel processing.

  6. www.r-project.org › foundation › boardR: Board and Auditors

    The R Foundation can be contacted by e-mail to R-foundation at r-project.org. and at. The R Foundation for Statistical Computing. c/o Institute for Statistics and Mathematics. Wirtschaftsuniversität Wien. Welthandelsplatz 1. 1020 Vienna, Austria. Tel: (+43 1) 31336 4754. Fax: (+43 1) 31336 904754.

  7. The binomial distribution is one of the most commonly used distributions in statistics, with a discrete mass function. n! p(x; n, p) = px(1 − p)n−x; x = 0, . . . , n. (1) x!(n − x)! In this paper, it is shown that an algorithm commonly used for computing p(x; n, p) is not accurate for large n.

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