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survival (version 3.2-11)

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

100,052

Version

3.2-11

License

LGPL (>= 2)

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Repository

https://github.com/therneau/survival

Maintainer

Last Published

April 26th, 2021

Functions in survival (3.2-11)

Methods for Surv objects

Create new-style "assign" attribute

Alias for the survfit function

Compute a quadratic form

Identify clusters.

Fit Proportional Hazards Regression Model

Conditional logistic regression

Details of a Cox Model Fit

Proportional Hazards Regression Object

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

Fits proportional hazards regression model to case-cohort data

Chronic Granulotamous Disease data

Verify that an object is of class ratetable.

Add Lines or Points to a Survival Plot

Ancillary arguments for controlling coxph fits

Rat treatment data from Mantel et al

Stanford Heart Transplant data

Diabetic Retinopathy

logLik method for a Cox model

NCCTG Lung Cancer Data

Data from the 1972-78 GSS data used by Logan

Bladder Cancer Recurrences

Random effects terms

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

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

Monoclonal gammopathy data

Ddiabetic retinopathy

Predictions for a Cox model

Natural splines with knot heights as the basis.

Non-alcohol fatty liver disease

Monoclonal gammopathy data

residuals.survfit

IJ residuals from a survfit object.

print.summary.coxph

Print method for summary.coxph objects

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

predict.survreg

Predicted Values for a `survreg' Object

Plot method for survfit objects

Draw a state space figure.

Bounded link functions

Compute the concordance

survfitcoxph.fit

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

survfit.formula

Compute a Survival Curve for Censored Data

Print a Short Summary of a Survival Curve

Confidence limits for the Poisson

Chronic Granulotomous Disease data

Kidney catheter data

Create data for a Fine-Gray model

Test the Proportional Hazards Assumption of a Cox Regression

Test Survival Curve Differences

quantile.survfit

Quantiles from a survfit object

Rat data from Gail et al.

untangle.specials

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

Distributions available in survreg.

model.matrix.coxph

Model.matrix method for coxph models

Ridge regression

model.frame.coxph

Model.frame method for coxph objects

Data from the National Wilm's Tumor Study

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

Ovarian Cancer Survival Data

Checks of a survival data set

Regression for a Parametric Survival Model

Compute a Survival Curve from a Cox model

Create survival curves

summary.survfit

Summary of a Survival Curve

print.summary.survexp

Print Survexp Summary

Chemotherapy for Stage B/C colon cancer

Mayo Clinic Primary Biliary Cirrhosis, sequential data

residuals.survreg

Compute Residuals for `survreg' Objects

More Stanford Heart Transplant data

survreg.control

Package options for survreg and coxph

Print an aareg object

rhDNASE data set

Identify Stratification Variables

Smoothing splines using a pspline basis

Pseudo values for survival.

Return the states of a multi-state Surv object

survival-internal

Internal survival functions

Compute Royston's D for a Cox model

Summary function for pyears objecs

Expected Survival Curve Object

Acute myeloid leukemia

Split a survival data set at specified times

Summarize an aareg fit

summary.survexp

Summary function for a survexp object

Summary method for Cox models

Verify a survreg distribution

Method for adding new models to the yates function.

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

Sorting order for Surv objects

Factors for person-year calculations

residuals.coxph

Calculate Residuals for a `coxph' Fit

Population prediction

Census Data Sets for the Expected Survival and Person Years Functions

Plot an aareg object.

Compute redistribute-to-the-right weights

Survival Curve Object

Assay of serum free light chain for 7874 subjects.

Tobin's Tobit data

Compute the concordance statistic for data or a model

Convert date objects to ratetable form

Rate table structure

Mayo Clinic Primary Biliary Cholangitis Data

Convert the format of a survfit object.

Graphical Test of Proportional Hazards

Data from a soldering experiment

Compute Expected Survival

Reliability data sets

print.summary.survfit

Print Survfit Summary

Compute Expected Survival

survreg.distributions

Parametric Survival Distributions

Data from a trial of usrodeoxycholic acid

Projected US Population

survival-deprecated

Deprecated functions in package survival

Time based merge for survival data

Variance-covariance matrix

Liver transplant waiting list

Veterans' Administration Lung Cancer study

Parametric Survival Model Object

Convert data from timecourse to (time1,time2) style

Create a survival object

Create a Survival Object

aggregate.survfit

Average survival curves

Analysis of Deviance for a Cox model.

Aalen's additive regression model for censored data

Cox model fitting functions

Acute Myelogenous Leukemia survival data

Adjudicate near ties in a Surv object