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survival (version 3.5-7)

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.packages('survival')

Monthly Downloads

115,976

Version

3.5-7

License

LGPL (>= 2)

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Repository

https://github.com/therneau/survival

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Last Published

August 14th, 2023

Functions in survival (3.5-7)

aggregate.survfit

Average survival curves

Cox model fitting functions

Acute Myelogenous Leukemia survival data

Aalen's additive regression model for censored data

Create a Survival Object

Create a survival object

Chronic Granulotamous Disease data

Create new-style "assign" attribute

Analysis of Deviance for a Cox model.

Compute the Brier score for a Cox model

Chronic Granulotomous Disease data

Bounded link functions

Bladder Cancer Recurrences

Proportional Hazards Regression Object

Adjudicate near ties in a Surv object

Test the Proportional Hazards Assumption of a Cox Regression

Compute the concordance statistic for data or a model

Alias for the survfit function

Convert data from timecourse to (time1,time2) style

Fit Proportional Hazards Regression Model

Stanford Heart Transplant data

Mouse cancer data

Random effects terms

Fits proportional hazards regression model to case-cohort data

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

Return the states of a multi-state Surv object

logLik method for a Cox model

Compute a quadratic form

Verify that an object is of class ratetable.

Methods for Surv objects

Compute the concordance

Ddiabetic retinopathy

Confidence limits for the Poisson

Identify clusters.

Conditional logistic regression

Add Lines or Points to a Survival Plot

Data from the 1972-78 GSS data used by Logan

Ancillary arguments for controlling coxph fits

Chemotherapy for Stage B/C colon cancer

Distributions available in survreg.

Details of a Cox Model Fit

Multi-state Proportional Hazards Regression Object

model.matrix.coxph

Model.matrix method for coxph models

Create data for a Fine-Gray model

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

NCCTG Lung Cancer Data

Kidney catheter data

Natural splines with knot heights as the basis.

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

Monoclonal gammopathy data

Mayo Clinic Primary Biliary Cholangitis Data

Data from the National Wilm's Tumor Study

quantile.survfit

Quantiles from a survfit object

Diabetic Retinopathy

Ovarian Cancer Survival Data

Assay of serum free light chain for 7874 subjects.

Acute myeloid leukemia

Monoclonal gammopathy data

Mayo Clinic Primary Biliary Cirrhosis, sequential data

print.summary.coxph

Print method for summary.coxph objects

Plot an aareg object.

model.frame.coxph

Model.frame method for coxph objects

Survival times of patients with multiple myeloma

print.summary.survexp

Print Survexp Summary

rhDNASE data set

Pseudo values for survival.

Non-alcohol fatty liver disease

Graphical Test of Proportional Hazards

Smoothing splines using a pspline basis

Test Survival Curve Differences

predict.survreg

Predicted Values for a `survreg' Object

Summarize an aareg fit

Data from a soldering experiment

Summary method for Cox models

print.summary.survfit

Print Survfit Summary

Print a Short Summary of a Survival Curve

Print an aareg object

Allow ratetable() terms in a model

More Stanford Heart Transplant data

Compute Expected Survival

survreg.control

Package options for survreg and coxph

Convert date objects to ratetable form

survival-deprecated

Deprecated functions in package survival

survival-internal

Internal survival functions

residuals.survfit

IJ residuals from a survfit object.

survreg.distributions

Parametric Survival Distributions

Factors for person-year calculations

Tobin's Tobit data

residuals.survreg

Compute Residuals for `survreg' Objects

Summary function for pyears objecs

Liver transplant waiting list

Time based merge for survival data

Plot method for survfit objects

Predictions for a Cox model

Reliability data sets

Rat treatment data from Mantel et al

summary.survexp

Summary function for a survexp object

Compute a Survival Curve from a Cox model

residuals.coxph

Calculate Residuals for a `coxph' Fit

Compute Royston's D for a Cox model

Rat data from Gail et al.

survfit.formula

Compute a Survival Curve for Censored Data

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

Draw a state space figure.

Ridge regression

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

Identify Stratification Variables

Checks of a survival data set

Regression for a Parametric Survival Model

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

Veterans' Administration Lung Cancer study

Shorten a (time1, time2) survival dataset

Sorting order for Surv objects

Survival Curve Object

Compute redistribute-to-the-right weights

Population prediction

summary.survfit

Summary of a Survival Curve

Convert the format of a survfit object.

Split a survival data set at specified times

Census Data Sets for the Expected Survival and Person Years Functions

Create survival curves

survfitcoxph.fit

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

Compute Expected Survival

Expected Survival Curve Object

Parametric Survival Model Object

Method for adding new models to the yates function.

Verify a survreg distribution

Projected US Population

Variance-covariance matrix

Data from a trial of usrodeoxycholic acid

untangle.specials

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