Special issue on statistical algorithms and software in R. (English) Zbl 1471.00016
From the text: This special issue is devoted to statistical algorithms and software in R. It contains twelve contributions wherein methodological aspects are combined with sound R implementations.
MSC:
| 00B15 | Collections of articles of miscellaneous specific interest |
| 62-06 | Proceedings, conferences, collections, etc. pertaining to statistics |
| 62-08 | Computational methods for problems pertaining to statistics |
| 62-04 | Software, source code, etc. for problems pertaining to statistics |
References:
| [1] | Asquith, W. H., Parameter estimation for the 4-parameter asymmetric exponential power distribution by the method of L-moments using R, Computational Statistics & Data Analysis, 71, 955-970, (2014), URL http://www.sciencedirect.com/science/article/pii/S0167947312004471 · Zbl 1471.62018 |
| [2] | Bartolucci, F.; Bacci, S.; Gnaldi, M., Multilcirt: an R package for multidimensional latent class item response models, Computational Statistics & Data Analysis, 71, 971-985, (2014), URL http://www.sciencedirect.com/science/article/pii/S0167947313002053 · Zbl 1471.62024 |
| [3] | Cheng, C.-W.; Hung, Y.-C.; Balakrishnan, N., Generating beta random numbers and Dirichlet random vectors in R: the package rbeta2009, Computational Statistics & Data Analysis, 71, 1011-1020, (2014), URL http://www.sciencedirect.com/science/article/pii/S0167947313000753 · Zbl 1471.62039 |
| [4] | Chevalier, C.; Picheny, V.; Ginsbourger, D., Kriginv: an efficient and user-friendly implementation of batch-sequential inversion strategies based on Kriging, Computational Statistics & Data Analysis, 71, 1021-1034, (2014), URL http://www.sciencedirect.com/science/article/pii/S0167947313001060 · Zbl 1471.62043 |
| [5] | Eddelbuettel, D.; Sanderson, C., Rcpparmadillo: accelerating R with high-performance C++ linear algebra, Computational Statistics & Data Analysis, 71, 1054-1063, (2014), URL http://www.sciencedirect.com/science/article/pii/S0167947313000492 · Zbl 1471.62055 |
| [6] | Eugster, M. J.; Leisch, F.; Strobl, C., (psycho-)analysis of benchmark experiments: a formal framework for investigating the relationship between data sets and learning algorithms, Computational Statistics & Data Analysis, 71, 986-1000, (2014), URL http://www.sciencedirect.com/science/article/pii/S0167947313002946 · Zbl 1471.62058 |
| [7] | Gatu, C.; Gentle, J.; Hinde, J.; Huh, M., Special issue on statistical algorithms and software, Computational Statistics & Data Analysis, 52, 2, 616-617, (2007), URL http://www.sciencedirect.com/science/article/pii/S0167947307002290 · Zbl 1452.00022 |
| [8] | Gatu, C.; McCullough, B. D., Second special issue on statistical algorithms and software, Computational Statistics & Data Analysis, 54, 3, 609-610, (2010), URL http://www.sciencedirect.com/science/article/pii/S0167947309004125 · Zbl 1464.00014 |
| [9] | Golyandina, N.; Korobeynikov, A., Basic singular spectrum analysis and forecasting with R, Computational Statistics & Data Analysis, 71, 934-954, (2014), URL http://www.sciencedirect.com/science/article/pii/S0167947313001394 · Zbl 1471.62077 |
| [10] | Millo, G., Maximum likelihood estimation of spatially and serially correlated panels with random effects, Computational Statistics & Data Analysis, 71, 914-933, (2014), URL http://www.sciencedirect.com/science/article/pii/S0167947313002697 · Zbl 1471.62140 |
| [11] | Picheny, V.; Ginsbourger, D., Noisy Kriging-based optimization methods: a unified implementation within the diceoptim package, Computational Statistics & Data Analysis, 71, 1035-1053, (2014), URL http://www.sciencedirect.com/science/article/pii/S0167947313001205 · Zbl 1471.62161 |
| [12] | Polpo, A.; de Campos, C. P.; Sinha, D.; Lipsitz, S.; Lin, J., Transform both sides model: a parametric approach, Computational Statistics & Data Analysis, 71, 903-913, (2014), URL http://www.sciencedirect.com/science/article/pii/S0167947313002685 · Zbl 1471.62163 |
| [13] | Wang, L.; Lee, C. H., Discretization-based direct random sample generation, Computational Statistics & Data Analysis, 71, 1001-1010, (2014), URL http://www.sciencedirect.com/science/article/pii/S0167947313002235 · Zbl 1471.62210 |
| [14] | Yee, T. W., Reduced-rank vector generalized linear models with two linear predictors, Computational Statistics & Data Analysis, 71, 889-902, (2014), URL http://www.sciencedirect.com/science/article/pii/S0167947313000273 · Zbl 1471.62228 |
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