Martin Mächler 个人学术档案

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	总计	2019 年至今
引用	76293	34995
h 指数	66	50
i10 指数	139	103

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Steven C WalkerMcMaster University在 mcmaster.ca 的电子邮件经过验证
Arni MagnussonSenior Fisheries Scientist - SPC, New Caledonia在 spc.int 的电子邮件经过验证
Friedrich LeischInstitute of Statistics, University of Natural Resources and Life Sciences, Vienna, Austria在 boku.ac.at 的电子邮件经过验证
Kasper KristensenDanish Technical University在 dtu.dk 的电子邮件经过验证
Hans J. SkaugUniversity of Bergen在 uib.no 的电子邮件经过验证
Casper W. BergSenior Researcher, DTU Aqua在 aqua.dtu.dk 的电子邮件经过验证
Wolfgang HuberEMBL - European Molecular Biology Laboratory在 embl.org 的电子邮件经过验证
Marius HofertThe University of Hong Kong在 hku.hk 的电子邮件经过验证
Anthony (Tony) RossiniBiomedical Informatics, University of Washington, and Data Office, UCB在 uw.edu 的电子邮件经过验证
Koen J. van BenthemGroningen University在 ieu.uzh.ch 的电子邮件经过验证
Luke TierneyStatistics and Actuarial Science, University of Iowa在 uiowa.edu 的电子邮件经过验证
Thomas LumleyProfessor of Biostatistics, University of Auckland在 auckland.ac.nz 的电子邮件经过验证
Mollie BrooksSenior Research Scientist, National Institute of Aquatic Resources , Danish Technical University在 aqua.dtu.dk 的电子邮件经过验证
Torsten Hothorn在 R-project.org 的电子邮件经过验证
Stefano Maria IacusDirector of Data Science and Product Research, IQSS, Harvard在 iq.harvard.edu 的电子邮件经过验证
Marcel DettlingZurich University of Applied Sciences在 zhaw.ch 的电子邮件经过验证
Gregory R. WarnesWarnes Innovation LLC在 warnes-innovations.com 的电子邮件经过验证
Anders NielsenDTU-Aqua在 aqua.dtu.dk 的电子邮件经过验证
Ben BolkerProfessor of Biology and Math & Statistics, McMaster University在 mcmaster.ca 的电子邮件经过验证
Andy LiawMerck & Co., Inc.在 merck.com 的电子邮件经过验证

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Martin Mächler

Adjunct Professor, ETH Zurich

在 stat.math.ethz.ch 的电子邮件经过验证 - 首页

Statistical Computing Robustness Matrix computation Copulas stable distributions


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Fitting Linear Mixed-Effects Models Using lme4 D Bates, M Maechler, B Bolker, S Walker Journal of Statistical Software 67 (1), 1-48, 2015	14410*	2015
Bioconductor: open software development for computational biology and bioinformatics RC Gentleman, VJ Carey, DM Bates, B Bolstad, M Dettling, S Dudoit, ... Genome biology 5, 1-16, 2004	14133	2004
lme4: Linear mixed-effects models using S4 classes. R package version 1.1-7 D Bates, M Maechler, B Bolker, S Walker URL http://CRAN.R-project.org/package=lme4, 2014	10668*	2014
nlme: linear and nonlinear mixed effects models. R package version 3.1-131 J Pinheiro, B Bates, Douglas, RC Team https://cran.r-project.org/package=nlme, 2017	8016*	2017
glmmTMB balances speed and flexibility among packages for zero-inflated generalized linear mixed modeling ME Brooks, K Kristensen, KJ Van Benthem, A Magnusson, CW Berg, ... The R journal 9 (2), 378-400, 2017	7282	2017
Cluster: cluster analysis basics and extensions M Maechler R package version 2.0. 7–1, 2018	3659	2018
gplots: Various R programming tools for plotting data GR Warnes, B Bolker, L Bonebakker, R Gentleman, W Huber, A Liaw, ... R package version 2 (4), 1, 2009	3136*	2009
nlme: linear and nonlinear mixed effects models. R package version 3.1-117 J Pinheiro, B Bates, Douglas, R Team https://cran.r-project.org/package=nlme, 2014	2069*	2014
Package ‘lme4’ D Bates, M Maechler, B Bolker, S Walker, RHB Christensen, H Singmann, ... convergence 12 (1), 2, 2015	1526	2015
Causal inference using graphical models with the R package pcalg M Kalisch, M Mächler, D Colombo, MH Maathuis, P Bühlmann Journal of statistical software 47, 1-26, 2012	749	2012
Matrix: Sparse and dense matrix classes and methods D Bates, M Maechler, M Jagan R package version 0.999375-43, URL http://cran. r-project. org/package= Matrix, 2010	700	2010
glmmTMB: generalized linear mixed models using template model builder A Magnusson, H Skaug, A Nielsen, C Berg, K Kristensen, M Maechler, ... R package version 0.1 3, 2017	670*	2017
Scatterplot3d-an r package for visualizing multivariate data U Ligges, M Mächler Technical report, 2002	504	2002
Regression modeling in back-propagation and projection pursuit learning JN Hwang, SR Lay, M Maechler, RD Martin, J Schimert IEEE Transactions on neural networks 5 (3), 342-353, 1994	445	1994
Linear mixed-effects models using S4 classes D Bates http://cran. r-project. org/src/contrib/Descriptions/lme4. html, 2007	344	2007
copula: Multivariate dependence with copulas M Hofert, I Kojadinovic, M Maechler, J Yan R package version 0.999-9, URL http://CRAN. R-project. org/package= copula, C225, 2014	333	2014
Modeling zero-inflated count data with glmmTMB ME Brooks, K Kristensen, KJ van Benthem, A Magnusson, CW Berg, ... BioRxiv, 132753, 2017	294	2017
Fitting linear mixed-effects models using lme4. arXiv D Bates, M Mächler, B Bolker, S Walker arXiv preprint arXiv:1406.5823 23, 2014	292	2014
lme4: Linear mixed-effects models using S4 classes. R package version 0.999375-31 D Bates, M Maechler, B Dai	292	2009
Robustbase: basic robust statistics P Rousseeuw, C Croux, V Todorov, A Ruckstuhl, M Salibian-Barrera, ... R package version 0.4-5, URL http://CRAN. R-project. org/package= robustbase, 2009	226	2009

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