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survival (version 2.44-1.1)

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

98,782

Version

2.44-1.1

License

LGPL (>= 2)

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Repository

https://github.com/therneau/survival

Maintainer

Terry Therneau

Last Published

April 1st, 2019

Functions in survival (2.44-1.1)

Chronic Granulotomous Disease data

Create a Survival Object

Methods for Surv objects

Monoclonal gammopathy data

Compute a quadratic form

Analysis of Deviance for a Cox model.

Ddiabetic retinopathy

Create new-style "assign" attribute

Data from the 1972-78 GSS data used by Logan

Chemotherapy for Stage B/C colon cancer

Aalen's additive regression model for censored data

Alias for the survfit function

Monoclonal gammopathy data

model.frame.coxph

Model.frame method for coxph objects

model.matrix.coxph

Model.matrix method for coxph models

Cox model fitting functions

Adjudicate near ties in a Surv object

Acute Myelogenous Leukemia survival data

Bladder Cancer Recurrences

Convert date objects to ratetable form

Compute the concordance

NCCTG Lung Cancer Data

Test the Proportional Hazards Assumption of a Cox Regression

Compute the concordance statistic for data or a model

Conditional logistic regression

Mayo Clinic Primary Biliary Cirrhosis Data

Distributions available in survreg.

Identify clusters.

Details of a Cox Model Fit

Proportional Hazards Regression Object

Rat treatment data from Mantel et al

Kidney catheter data

Assay of serum free light chain for 7874 subjects.

summary.survexp

Summary function for a survexp object

Fits proportional hazards regression model to case-cohort data

summary.survfit

Summary of a Survival Curve

Mayo Clinic Primary Biliary Cirrhosis, sequential data

Chronic Granulotamous Disease data

print.summary.survfit

Print Survfit Summary

Return the states of a multi-state Surv object

Create data for a Fine-Gray model

Plot an aareg object.

Random effects terms

Stanford Heart Transplant data

Graphical Test of Proportional Hazards

Add Lines or Points to a Survival Plot

Test Survival Curve Differences

logLik method for a Cox model

Fit Proportional Hazards Regression Model

Smoothing splines using a pspline basis

Ancillary arguments for controlling coxph fits

Verify that an object is of class ratetable.

Acute myeloid leukemia

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

residuals.coxph

Calculate Residuals for a `coxph' Fit

residuals.survreg

Compute Residuals for `survreg' Objects

Data from the National Wilm's Tumor Study

Print a Short Summary of a Survival Curve

Diabetic Retinopathy

Identify Stratification Variables

Compute Expected Survival

rhDNASE data set

predict.survreg

Predicted Values for a `survreg' Object

Summary method for Cox models

survreg.control

Package options for survreg and coxph

survreg.distributions

Parametric Survival Distributions

Veterans' Administration Lung Cancer study

Plot method for survfit objects

Summary function for pyears objecs

survConcordance

Compute a concordance measure.

Print an aareg object

More Stanford Heart Transplant data

Ovarian Cancer Survival Data

Sorting order for Surv objects

Predictions for a Cox model

Draw a state space figure.

print.summary.coxph

Print method for summary.coxph objects

Split a survival data set at specified times

print.summary.survexp

Print Survexp Summary

quantile.survfit

Quantiles from a survfit object

Summarize an aareg fit

Rate table structure

Compute a Survival Curve from a Cox model

Rat data from Gail et al.

Reliability data sets

Compute Expected Survival

survfitcoxph.fit

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

Expected Survival Curve Object

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

Ridge regression

survfit.formula

Compute a Survival Curve for Censored Data

Regression for a Parametric Survival Model

survival-internal

Internal survival functions

Parametric Survival Model Object

Verify a survreg distribution

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

Projected US Population

Data from a trial of usrodeoxycholic acid

Data from a soldering experiment

Factors for person-year calculations

Census Data Sets for the Expected Survival and Person Years Functions

Survival Curve Object

Time based merge for survival data

Variance-covariance matrix

Population prediction

Method for adding new models to the yates function.

Create survival curves

untangle.specials

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

Tobin's Tobit data

Liver transplant waiting list

Confidence limits for the Poisson