Table of Contents
Articles
Robust Likelihood-Based Survival Modeling with Microarray Data | |
HyungJun Cho, Ami Yu, Sukwoo Kim, Jaewoo Kang, Seung-Mo Hong |
LogConcDEAD: An R Package for Maximum Likelihood Estimation of a Multivariate Log-Concave Density | |
Madeleine Cule, Robert B. Gramacy, Richard Samworth |
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 |
RinRuby: Accessing the R Interpreter from Pure Ruby | |
David B. Dahl, Scott Crawford |
Maximum Entropy Bootstrap for Time Series: The meboot R Package | |
Hrishikesh D. Vinod, Javier Lopez-de-Lacalle |
PSAgraphics: An R Package to Support Propensity Score Analysis | |
James E. Helmreich, Robert M. Pruzek |
MCPMod: An R Package for the Design and Analysis of Dose-Finding Studies | |
Björn Bornkamp, José Pinheiro, Frank Bretz |
Processing Ecological Data in R with the mefa Package | |
Péter Sólymos |
MIDAS: A SAS Macro for Multiple Imputation Using Distance-Aided Selection of Donors | |
Juned Siddique, Ofer Harel |
Automatic Generation of Exams in R | |
Bettina Grün, Achim Zeileis |
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 |
Book Reviews
Bioconductor Case Studies | |
Antony Unwin |
Probability with R-An Introduction with Computer Science Applications | |
Juana Sanchez |
The Statistical Analysis of Functional MRI Data | |
Sophie Achard |
Software for Data Analysis | |
Byron Ellis |
Design and Analysis of Experiments: Classical and Regression Approaches with SAS | |
Russell V. Lenth |
Nonlinear Regression with R | |
Jan de Leeuw |
Statistical Methods for Environmental Epidemiology with R | |
Jan de Leeuw |
R Programming for Bioinformatics | |
Jan de Leeuw |
Practical Text Mining with Perl | |
Ryan Rosario |
Introductory Statistics with R (Second Edition) | |
Pedro M. Valero-Mora |
Modern Multivariate Statistical Techniques: Regression, Classification and Manifold Learning | |
John Maindonald |
Statistical Learning from a Regression Perspective | |
John Maindonald |
Analysis of Multivariate Social Science Data (2nd Edition) | |
Patrick Mair |
Applied Econometrics with R | |
Dirk Eddelbuettel |