文档介绍：CRAN Task View: Survival Analysis
Maintainer:
Arthur Allignol and Aurelien Latouche
Contact:
at uni-
Version:
2016-01-27
Survival analysis, also called event history analysis in social science, or reliability analysis in engineering, deals with time until occurrence of an event of interest. However, this failure time may not be observed within the relevant time period, producing so-called censored observations.
This task view aims at presenting the useful R packages for the analysis of time to event data.
Please let the maintainers know if something is urate or missing.
Standard Survival Analysis
Estimation of the Survival Distribution
Kaplan-Meier: The survfit function from the survival putes the Kaplan-Meier estimator for truncated and/or censored data. rms (replacement of the Design package) proposes a modified version of the survfit function. The prodlim package implements a fast algorithm and some features not included in survival. Various confidence intervals and confidence bands for the Kaplan-Meier estimator are implemented in the  package.  of package eha plots the Kaplan-Meier estimator. The NADA package includes a function pute the Kaplan-Meier estimator for left-censored data. svykm in survey provides a weighted Kaplan-Meier estimator.  in NestedCohort estimates the survival curve for each level of categorical variables with missing data. The kaplan-meier function in putes the Kaplan-Meier estimator from histogram data. The MAMSE package permits pute a weighted Kaplan-Meier estimate. The KM function in package rhosp plots the survival function using a variant of the Kaplan-Meier estimator in a hospitalisation risk context. The survPresmooth putes presmoothed estimates of the main quantities used for right-censored data, ., survival, hazard and density functions. The asbio package permits pute the Kaplan-Meier estimator following Pollock et al. (1998). The bpcp package provides several functions