Special issue on statistical algorithms and software in R
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Publication:1621369
DOI10.1016/J.CSDA.2013.10.012zbMath1471.00016OpenAlexW2069153406WikidataQ57263786 ScholiaQ57263786MaRDI QIDQ1621369
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Publication date: 8 November 2018
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2013.10.012
Computational methods for problems pertaining to statistics (62-08) Software, source code, etc. for problems pertaining to statistics (62-04) Proceedings, conferences, collections, etc. pertaining to statistics (62-06) Collections of articles of miscellaneous specific interest (00B15)
Uses Software
Cites Work
- Discretization-based direct random sample generation
- Editorial: Second special issue on statistical algorithms and software
- Editorial: Special issue on statistical algorithms and software
- Reduced-rank vector generalized linear models with two linear predictors
- Transform both sides model: a parametric approach
- Maximum likelihood estimation of spatially and serially correlated panels with random effects
- Basic singular spectrum analysis and forecasting with R
- Parameter estimation for the 4-parameter asymmetric exponential power distribution by the method of L-moments using R
- MultiLCIRT: an R package for multidimensional latent class item response models
- (Psycho-)analysis of benchmark experiments: a formal framework for investigating the relationship between data sets and learning algorithms
- Generating beta random numbers and Dirichlet random vectors in R: the package rBeta2009
- \textit{KrigInv}: an efficient and user-friendly implementation of batch-sequential inversion strategies based on kriging
- Noisy kriging-based optimization methods: a unified implementation within the DiceOptim package
- RcppArmadillo: accelerating R with high-performance C++ linear algebra
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