Special issue on statistical algorithms and software in R
type: Item
instance of: scholarly article
title: Special issue on statistical algorithms and software in R
zbMATH Open document ID: 1471.00016
published in: Computational Statistics and Data Analysis
publication date: 2018-11-08T00:00:00Z
Mathematics Subject Classification ID: 00B15
Mathematics Subject Classification ID: 62-06
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62-04
zbMATH DE Number: 6975432
describes a project that uses: MultiLCIRT
describes a project that uses: KrigInv
describes a project that uses: rBeta2009
describes a project that uses: R
describes a project that uses: benchmark
describes a project that uses: DiceOptim
describes a project that uses: RcppArmadillo
MaRDI profile type: Publication
full work available at URL: j.csda.2013.10.012
OpenAlex ID: W2069153406
Wikidata QID: Q57263786
cites work: Parameter estimation for the 4-parameter asymmetric exponential power distribution by the method of L-moments using R
cites work: MultiLCIRT: an R package for multidimensional latent class item response models
cites work: Generating beta random numbers and Dirichlet random vectors in R: the package rBeta2009
cites work: \textit{KrigInv}: an efficient and user-friendly implementation of batch-sequential inversion strategies based on kriging
cites work: RcppArmadillo: accelerating R with high-performance C++ linear algebra
cites work: (Psycho-)analysis of benchmark experiments: a formal framework for investigating the relationship between data sets and learning algorithms
cites work: Editorial: Special issue on statistical algorithms and software
cites work: Editorial: Second special issue on statistical algorithms and software
cites work: Basic singular spectrum analysis and forecasting with R
cites work: Maximum likelihood estimation of spatially and serially correlated panels with random effects
cites work: Noisy kriging-based optimization methods: a unified implementation within the DiceOptim package
cites work: Transform both sides model: a parametric approach
cites work: Discretization-based direct random sample generation
cites work: Reduced-rank vector generalized linear models with two linear predictors
DOI: 10.1016/J.CSDA.2013.10.012
description: scientific article; zbMATH DE number 6975432