OutlierDC-package: Functions for detecting outlying observations in the analysis...
In sooheang/OutlierDC: Outlier Detection for Censored Data

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