Description Details Note Author(s) References See Also
This package offers exploratory outlier detection algorithms for the analysis of censored data, especially, with an application to lifetime studies.
Package: | OutlierDC |
Type: | Package |
Version: | 1.0.0 |
Date: | 2015-06-06 |
License: | GPL version 3 |
LazyLoad: | no |
We would like to thank Huxia Judy Wang and Lan Wang for the permission to use the function LCRQ().
Soo-Heang EO and HyungJun CHO
Maintainer: Soo-Heang EO <eo.sooheang@gmail.com>
Eo, S-H, Hong, S-M, and Cho, H. (2015+). Identification of outlying observations with quantile regression for censored data, Submitted.
Balakrishnan, N., Chimitova, E., Galanova, N., & Vedernikova, M. (2013). Testing Goodness of Fit of Parametric AFT and PH Models with Residuals. Communications in Statistics - Simulation and Computation, 42(6), 1352<e2><80><93>1367.
Wang H. J., and Wang, L. (2009). Locally weighted censored quantile regression. Journal of the American Statistical Association, 104, 1117-1128.
Martin, M. A., and Roberts, S. (2010). Jackknife-after-bootstrap regression influence diagnostics, Journal of Nonparametric Statistics, 22, 257-269.
Nardi, A., and Schemper, M. (1999). New residuals for cox regression and their application to outlier screening, Biometrics, 55, 523-529.
odc
, plot
, coef
, show
, quantreg
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.