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  1. Home
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  3. Vol. 29 (2009)

Articles

Robust Likelihood-Based Survival Modeling with Microarray Data

HyungJun Cho, Ami Yu, Sukwoo Kim, Jaewoo Kang, Seung-Mo Hong
Vol. 29, Issue 1
Paper R package (rbsurv) v29i01.R: R example code for the results in the paper glima.txt: Glioma data: Expression data (tab-separated) Glioma data: Survival data (tab-separated)

LogConcDEAD: An R Package for Maximum Likelihood Estimation of a Multivariate Log-Concave Density

Madeleine Cule, Robert B. Gramacy, Richard Samworth
Vol. 29, Issue 2
Paper R package (LogConcDEAD) v29i02.R: R example code from the paper

Adaptive Mixture of Student-t Distributions as a Flexible Candidate Distribution for Efficient Simulation: The R Package AdMit

David Ardia, Lennart F. Hoogerheide, Herman K. van Dijk
Vol. 29, Issue 3
Paper R package (AdMit) v29i03.R: R example code from the paper

RinRuby: Accessing the R Interpreter from Pure Ruby

David B. Dahl, Scott Crawford
Vol. 29, Issue 4
Paper rinruby-1.1.1.rb: Ruby package source code v29i04-gettysburg.rb: Ruby code for Gettysburg Address example v29i04-churches.rb: Ruby code for Tim Churches\' example v29i04-churches.py: Python code for Tim Churches\' example v29i04-regression.rb: Ruby code for regression example Gettysburg Address data faithful.dat: Old Faithful data

Maximum Entropy Bootstrap for Time Series: The meboot R Package

Hrishikesh D. Vinod, Javier Lopez-de-Lacalle
Vol. 29, Issue 5
Paper R package (meboot) v29i05.R: R example code from the paper airp_animation.avi: AVI video illustrating ME bootstrap

PSAgraphics: An R Package to Support Propensity Score Analysis

James E. Helmreich, Robert M. Pruzek
Vol. 29, Issue 6
Paper R package (PSAgraphics) R example code from the paper

MCPMod: An R Package for the Design and Analysis of Dose-Finding Studies

Björn Bornkamp, José Pinheiro, Frank Bretz
Vol. 29, Issue 7
Paper R package (MCPMod) R example code from the paper

Processing Ecological Data in R with the mefa Package

Péter Sólymos
Vol. 29, Issue 8
Paper R example code from the paper R package (mefa)

MIDAS: A SAS Macro for Multiple Imputation Using Distance-Aided Selection of Donors

Juned Siddique, Ofer Harel
Vol. 29, Issue 9
Paper MIDAS.sas: SAS source code v29i09.sas: SAS example code from the paper v29i09-kid-data.sas: SAS code for KID data preparation v29i09-kid-imputatION.sas: SAS code for KID imputation usig MIDAS

Automatic Generation of Exams in R

Bettina Grün, Achim Zeileis
Vol. 29, Issue 10
Paper R package (exams) v29i10.R: R example code from the paper tstat.Rnw: Example exercise file in Sweave format PDFs and meta-information for example exam

Code Snippets

The Construction of a Williams Design and Randomization in Cross-Over Clinical Trials Using SAS

Bing-Shun Wang, Xiao-Jin Wang, Li-Kun Gong
Vol. 29, Code Snippet 1
Paper SAS source code SAS example code from the paper Output files in RTF format for examples from the paper

Book Reviews

Bioconductor Case Studies

Antony Unwin
Vol. 29, Book Review 1
Paper

Probability with R-An Introduction with Computer Science Applications

Juana Sanchez
Vol. 29, Book Review 2
Paper

The Statistical Analysis of Functional MRI Data

Sophie Achard
Vol. 29, Book Review 3
Paper

Software for Data Analysis

Byron Ellis
Vol. 29, Book Review 4
Paper

Design and Analysis of Experiments: Classical and Regression Approaches with SAS

Russell V. Lenth
Vol. 29, Book Review 5
Paper

Nonlinear Regression with R

Jan de Leeuw
Vol. 29, Book Review 6
Paper

Statistical Methods for Environmental Epidemiology with R

Jan de Leeuw
Vol. 29, Book Review 7
Paper

R Programming for Bioinformatics

Jan de Leeuw
Vol. 29, Book Review 8
Paper

Practical Text Mining with Perl

Ryan Rosario
Vol. 29, Book Review 9
Paper

Introductory Statistics with R (Second Edition)

Pedro M. Valero-Mora
Vol. 29, Book Review 10
Paper

Modern Multivariate Statistical Techniques: Regression, Classification and Manifold Learning

John Maindonald
Vol. 29, Book Review 11
Paper

Statistical Learning from a Regression Perspective

John Maindonald
Vol. 29, Book Review 12
Paper

Analysis of Multivariate Social Science Data (2nd Edition)

Patrick Mair
Vol. 29, Book Review 13
Paper

Applied Econometrics with R

Dirk Eddelbuettel
Vol. 29, Book Review 14
Paper
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Journal Information

Journal Information

Publisher:Foundation for Open Access Statistics
Editors-in-chief:Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis
Board:Editorial Team
ISSN:1548-7660
CODEN:JSSOBK

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