Estimation of the Conditional Survival Function for Ordered Multivariate Failure Time Data.

condSURV: Estimation of the Conditional Survival Function for Ordered Multivariate Failure Time Data

condSURV is an R package to implement some newly developed methods for the estimation of the conditional survival function. The package implements three 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.

Installation

condSURV is available through both CRAN and GitHub.

Get the released version from CRAN:

install.packages("condSURV")

Or the development version from GitHub:

# install.packages("devtools")
devtools::install_github("sestelo/condsurv")