R: condSURV:...

condSURV-package {condSURV} | R Documentation

## condSURV: c("\Sexpr[results=rd,stage=build]tools:::Rd_package_title(\"#1\")", "condSURV")Estimation of the Conditional Survival Function for Ordered Multivariate Failure Time Data nonparametric estimation of the survival functions for ordered multivariate failure time data.

### Description

Newly developed methods for the estimation of the conditional survival function are implemented in this package. The condSURV package implements nonparametric and semiparametric estimators for these quantities. The package also implements feasible estimation methods for these quantities conditionally on current or past covariate measures. Other related estimators are also implemented in the package. One of these estimators is the Kaplan-Meier estimator typically assumed to estimate the survival function. A modification of the Kaplan-Meier estimator, based on a preliminary estimation (presmoothing) of the censoring probability for the survival time, given the available information is also implemented.

### Author(s)

Luis Meira-Machado and Marta Sestelo.

Maintainer: Marta Sestelo, sestelo@uvigo.es

### References

L. Meira-Machado, M. Sestelo, and A. Goncalves (2016). Nonparametric estimation of the survival function for ordered multivariate failure time data: a comparative study. Biometrical Journal, 58(3), 623–634.

[Package condSURV version 2.0.2 Index]