About
Masanao Yajima is a 1st year PhD student at UCLA Department of Statistics. His research interests inclused models for missing data, hierarchical/multilevel modeling, statistical computing, and statistical graphics.
CVResearch
Publication
Paninski, L. & Yajima, M. (2006). Undersmoothed kernel entropy estimators. (IEEE transactions on Information Theory)
Unpublished paper:
Why
we (usually) don't have to worry about multiple comparisons.
(Andrew Gelman, Jennifer Hill, and Masanao Yajima)
Software
| Name | Version | Collaborators | Description |
|---|---|---|---|
| Total | 3 R packages. | ||
| arm | 1.27 | Andrew Gelman, Yu-Sung Su, Jennifer Hill, Maria Grazia Pittau, Jouni Kerman and Tian Zheng | R functions for processing lm, glm, mer and polr outputs. |
| mi | 0.04.04 (alpha) | Andrew Gelman, Grazia Pitau, Yu-Sung Su | Missing data imputation using chained equation package. |
| R2jags | 0.01.21 | Yu-Sung Su, Masanao Yajima | A Package for Running jags from R. |