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survival (version 2.42-6)

Survival Analysis

Description

Contains the core survival analysis routines, including definition of Surv objects, Kaplan-Meier and Aalen-Johansen (multi-state) curves, Cox models, and parametric accelerated failure time models.

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Install

install.packages('survival')

Monthly Downloads

73,883

Version

2.42-6

License

LGPL (>= 2)

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Repository

https://github.com/therneau/survival

Maintainer

Terry Therneau

Last Published

July 13th, 2018

Functions in survival (2.42-6)

Cox model fitting functions

Alias for the survfit function

Identify clusters.

Bladder Cancer Recurrences

Chronic Granulotomous Disease data

Create new-style "assign" attribute

Analysis of Deviance for a Cox model.

Confidence limits for the Poisson

Fits proportional hazards regression model to case-cohort data

Compute a quadratic form

Stanford Heart Transplant data

Chronic Granulotamous Disease data

Create data for a Fine-Gray model

Distributions available in survreg.

Assay of serum free light chain for 7874 subjects.

Kidney catheter data

model.frame.coxph

Model.frame method for coxph objects

Create a Survival Object

Return the states of a multi-state Surv object

Methods for Surv objects

Mayo Clinic Primary Biliary Cirrhosis Data

Details of a Cox Model Fit

Plot method for survfit objects

Verify that an object is of class ratetable.

model.matrix.coxph

Model.matrix method for coxph models

Mayo Clinic Primary Biliary Cirrhosis, sequential data

Monoclonal gammopathy data

Monoclonal gammopathy data

Predictions for a Cox model

print.summary.coxph

Print method for summary.coxph objects

Aalen's additive regression model for censored data

Ridge regression

Smoothing splines using a pspline basis

rhDNASE data set

Chemotherapy for Stage B/C colon cancer

Proportional Hazards Regression Object

Test the Proportional Hazards Assumption of a Cox Regression

Random effects terms

Summarize an aareg fit

Summary method for Cox models

Create survival curves

Data from the 1972-78 GSS data used by Logan

Adjudicate near ties in a Surv object

residuals.survreg

Compute Residuals for `survreg' Objects

Diabetic Retinopathy

print.summary.survexp

Print Survexp Summary

Compute a Survival Curve from a Cox model

Test Survival Curve Differences

Split a survival data set at specified times

Ancillary arguments for controlling coxph fits

survival-internal

Internal survival functions

NCCTG Lung Cancer Data

Plot an aareg object.

Convert date objects to ratetable form

Add Lines or Points to a Survival Plot

Fit Proportional Hazards Regression Model

Graphical Test of Proportional Hazards

quantile.survfit

Quantiles from a survfit object

Rat treatment data from Mantel et al

Create Aalen-Johansen estimates of multi-state survival from a matrix of hazards.

Find the index of the closest value in data set 2, for each entry in data set one.

Print an aareg object

predict.survreg

Predicted Values for a `survreg' Object

survfit.formula

Compute a Survival Curve for Censored Data

Acute myeloid leukemia

Projected US Population

Expected Survival Curve Object

Summary function for pyears objecs

Variance-covariance matrix

logLik method for a Cox model

summary.survexp

Summary function for a survexp object

Census Data Sets for the Expected Survival and Person Years Functions

Rate table structure

summary.survfit

Summary of a Survival Curve

Data from the National Wilm's Tumor Study

Data from a soldering experiment

More Stanford Heart Transplant data

survreg.control

Package options for survreg and coxph

Ovarian Cancer Survival Data

survConcordance

Compute a concordance measure.

Regression for a Parametric Survival Model

survreg.distributions

Parametric Survival Distributions

Veterans' Administration Lung Cancer study

print.summary.survfit

Print Survfit Summary

Draw a state space figure.

Print a Short Summary of a Survival Curve

Rat data from Gail et al.

Parametric Survival Model Object

Identify Stratification Variables

Survival Curve Object

residuals.coxph

Calculate Residuals for a `coxph' Fit

Compute Expected Survival

Time based merge for survival data

Compute Expected Survival

survfitcoxph.fit

A direct interface to the `computational engine' of survfit.coxph

Verify a survreg distribution

Tobin's Tobit data

Sorting order for Surv objects

O'Brien's Test for Association of a Single Variable with Survival

Population prediction

Method for adding new models to the yates function.

Factors for person-year calculations

Liver transplant waiting list

untangle.specials

Help Process the `specials' Argument of the `terms' Function.

Acute Myelogenous Leukemia survival data

Conditional logistic regression