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survival (version 3.2-7)

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

install.packages('survival')

Monthly Downloads

98,782

Version

3.2-7

License

LGPL (>= 2)

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Repository

https://github.com/therneau/survival

Maintainer

Terry Therneau

Last Published

September 28th, 2020

Functions in survival (3.2-7)

Convert data from timecourse to (time1,time2) style

Cox model fitting functions

Acute Myelogenous Leukemia survival data

Create a Survival Object

Create a survival object

Aalen's additive regression model for censored data

Methods for Surv objects

Adjudicate near ties in a Surv object

Alias for the survfit function

Analysis of Deviance for a Cox model.

Chemotherapy for Stage B/C colon cancer

Compute the concordance statistic for data or a model

Details of a Cox Model Fit

Proportional Hazards Regression Object

Fits proportional hazards regression model to case-cohort data

Create new-style "assign" attribute

Identify clusters.

Conditional logistic regression

Confidence limits for the Poisson

Chronic Granulotomous Disease data

Ddiabetic retinopathy

Compute a quadratic form

Chronic Granulotamous Disease data

Random effects terms

Add Lines or Points to a Survival Plot

Test the Proportional Hazards Assumption of a Cox Regression

Compute the concordance

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

logLik method for a Cox model

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

Bladder Cancer Recurrences

Fit Proportional Hazards Regression Model

Ancillary arguments for controlling coxph fits

Stanford Heart Transplant data

Monoclonal gammopathy data

Create data for a Fine-Gray model

Verify that an object is of class ratetable.

Data from the 1972-78 GSS data used by Logan

Monoclonal gammopathy data

Print an aareg object

NCCTG Lung Cancer Data

Distributions available in survreg.

model.frame.coxph

Model.frame method for coxph objects

print.summary.coxph

Print method for summary.coxph objects

Rate table structure

Convert date objects to ratetable form

Compute redistribute-to-the-right weights

survConcordance

Compute a concordance measure.

Data from a soldering experiment

Acute myeloid leukemia

Assay of serum free light chain for 7874 subjects.

Mayo Clinic Primary Biliary Cirrhosis, sequential data

Non-alcohol fatty liver disease

Kidney catheter data

Return the states of a multi-state Surv object

model.matrix.coxph

Model.matrix method for coxph models

Plot an aareg object.

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

print.summary.survexp

Print Survexp Summary

Mayo Clinic Primary Biliary Cirrhosis Data

Ovarian Cancer Survival Data

print.summary.survfit

Print Survfit Summary

Checks of a survival data set

Test Survival Curve Differences

Graphical Test of Proportional Hazards

Split a survival data set at specified times

Data from the National Wilm's Tumor Study

Verify a survreg distribution

quantile.survfit

Quantiles from a survfit object

Parametric Survival Model Object

residuals.coxph

Calculate Residuals for a `coxph' Fit

residuals.survreg

Compute Residuals for `survreg' Objects

Summary method for Cox models

Diabetic Retinopathy

Reliability data sets

Expected Survival Curve Object

Summary function for pyears objecs

Census Data Sets for the Expected Survival and Person Years Functions

survreg.control

Package options for survreg and coxph

Factors for person-year calculations

Projected US Population

survreg.distributions

Parametric Survival Distributions

Variance-covariance matrix

Rat treatment data from Mantel et al

Predictions for a Cox model

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

Rat data from Gail et al.

Plot method for survfit objects

rhDNASE data set

Smoothing splines using a pspline basis

Compute Royston's D for a Cox model

Print a Short Summary of a Survival Curve

summary.survexp

Summary function for a survexp object

survfit.formula

Compute a Survival Curve for Censored Data

Identify Stratification Variables

predict.survreg

Predicted Values for a `survreg' Object

Summarize an aareg fit

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

Ridge regression

Draw a state space figure.

More Stanford Heart Transplant data

Time based merge for survival data

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

Create survival curves

Population prediction

Method for adding new models to the yates function.

summary.survfit

Summary of a Survival Curve

survfitcoxph.fit

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

Regression for a Parametric Survival Model

Compute a Survival Curve from a Cox model

Compute Expected Survival

survival-internal

Internal survival functions

untangle.specials

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

Compute Expected Survival

Data from a trial of usrodeoxycholic acid

Veterans' Administration Lung Cancer study

Sorting order for Surv objects

Convert the format of a survfit object.

Survival Curve Object

Tobin's Tobit data

Liver transplant waiting list