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survival (version 3.4-0)

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

3.4-0

License

LGPL (>= 2)

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Repository

https://github.com/therneau/survival

Maintainer

Terry Therneau

Last Published

August 9th, 2022

Functions in survival (3.4-0)

Aalen's additive regression model for censored data

aggregate.survfit

Average survival curves

Create a Survival Object

Create a survival object

Acute Myelogenous Leukemia survival data

Adjudicate near ties in a Surv object

Convert data from timecourse to (time1,time2) style

Cox model fitting functions

Methods for Surv objects

Analysis of Deviance for a Cox model.

Bladder Cancer Recurrences

Chronic Granulotomous Disease data

Ancillary arguments for controlling coxph fits

Fit Proportional Hazards Regression Model

Bounded link functions

Details of a Cox Model Fit

Fits proportional hazards regression model to case-cohort data

Verify that an object is of class ratetable.

Chemotherapy for Stage B/C colon cancer

Proportional Hazards Regression Object

Kidney catheter data

Chronic Granulotamous Disease data

model.matrix.coxph

Model.matrix method for coxph models

Create new-style "assign" attribute

Compute the concordance statistic for data or a model

Assay of serum free light chain for 7874 subjects.

Conditional logistic regression

Acute myeloid leukemia

Multi-state Proportional Hazards Regression Object

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

Identify clusters.

Compute a quadratic form

Breast cancer data sets used in Royston and Altman (2013)

Ddiabetic retinopathy

Natural splines with knot heights as the basis.

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

NCCTG Lung Cancer Data

Data from the 1972-78 GSS data used by Logan

logLik method for a Cox model

Stanford Heart Transplant data

Alias for the survfit function

Compute the concordance

Test the Proportional Hazards Assumption of a Cox Regression

Plot an aareg object.

Monoclonal gammopathy data

Confidence limits for the Poisson

Random effects terms

print.summary.coxph

Print method for summary.coxph objects

Reliability data sets

print.summary.survexp

Print Survexp Summary

Create data for a Fine-Gray model

Distributions available in survreg.

Predictions for a Cox model

Rat treatment data from Mantel et al

Rat data from Gail et al.

Plot method for survfit objects

Survival times of patients with multiple myeloma

residuals.coxph

Calculate Residuals for a `coxph' Fit

Data from a soldering experiment

Monoclonal gammopathy data

Graphical Test of Proportional Hazards

residuals.survfit

IJ residuals from a survfit object.

model.frame.coxph

Model.frame method for coxph objects

More Stanford Heart Transplant data

Add Lines or Points to a Survival Plot

residuals.survreg

Compute Residuals for `survreg' Objects

Summary function for pyears objecs

Mayo Clinic Primary Biliary Cholangitis Data

Return the states of a multi-state Surv object

Mayo Clinic Primary Biliary Cirrhosis, sequential data

summary.survexp

Summary function for a survexp object

print.summary.survfit

Print Survfit Summary

Non-alcohol fatty liver disease

Expected Survival Curve Object

survfit.formula

Compute a Survival Curve for Censored Data

Checks of a survival data set

Identify Stratification Variables

Test Survival Curve Differences

Draw a state space figure.

Time based merge for survival data

Verify a survreg distribution

Compute a Survival Curve from a Cox model

Create survival curves

Census Data Sets for the Expected Survival and Person Years Functions

Data from the National Wilm's Tumor Study

Veterans' Administration Lung Cancer study

Factors for person-year calculations

Tobin's Tobit data

Variance-covariance matrix

Ovarian Cancer Survival Data

survreg.control

Package options for survreg and coxph

predict.survreg

Predicted Values for a `survreg' Object

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

Regression for a Parametric Survival Model

Print an aareg object

Sorting order for Surv objects

quantile.survfit

Quantiles from a survfit object

Population prediction

Convert date objects to ratetable form

Print a Short Summary of a Survival Curve

Rate table structure

Compute Expected Survival

Diabetic Retinopathy

Compute redistribute-to-the-right weights

Compute Royston's D for a Cox model

Compute Expected Survival

rhDNASE data set

summary.survfit

Summary of a Survival Curve

Split a survival data set at specified times

Smoothing splines using a pspline basis

Pseudo values for survival.

Method for adding new models to the yates function.

Projected US Population

survfitcoxph.fit

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

untangle.specials

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

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

Convert the format of a survfit object.

Survival Curve Object

survival-internal

Internal survival functions

Ridge regression

Breast cancer data set used in Royston and Altman (2013)

Summarize an aareg fit

survival-deprecated

Deprecated functions in package survival

Summary method for Cox models

survreg.distributions

Parametric Survival Distributions

Parametric Survival Model Object

Data from a trial of usrodeoxycholic acid

Liver transplant waiting list