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survival (version 3.1-7)

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

73,883

Version

3.1-7

License

LGPL (>= 2)

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Repository

https://github.com/therneau/survival

Maintainer

Terry Therneau

Last Published

November 9th, 2019

Functions in survival (3.1-7)

Alias for the survfit function

Cox model fitting functions

Aalen's additive regression model for censored data

Analysis of Deviance for a Cox model.

Create a Survival Object

Methods for Surv objects

Test the Proportional Hazards Assumption of a Cox Regression

Compute the concordance

Fits proportional hazards regression model to case-cohort data

Chronic Granulotamous Disease data

Compute the concordance statistic for data or a model

Chemotherapy for Stage B/C colon cancer

Chronic Granulotomous Disease data

Ddiabetic retinopathy

Distributions available in survreg.

Confidence limits for the Poisson

Proportional Hazards Regression Object

Details of a Cox Model Fit

Compute a quadratic form

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

NCCTG Lung Cancer Data

logLik method for a Cox model

Return the states of a multi-state Surv object

Add Lines or Points to a Survival Plot

Assay of serum free light chain for 7874 subjects.

Identify clusters.

Create data for a Fine-Gray model

Conditional logistic regression

Random effects terms

model.frame.coxph

Model.frame method for coxph objects

Monoclonal gammopathy data

Monoclonal gammopathy data

model.matrix.coxph

Model.matrix method for coxph models

Acute myeloid leukemia

Data from the 1972-78 GSS data used by Logan

Data from the National Wilm's Tumor Study

Non-alcohol fatty liver disease

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.

Stanford Heart Transplant data

print.summary.survexp

Print Survexp Summary

Ancillary arguments for controlling coxph fits

Mayo Clinic Primary Biliary Cirrhosis, sequential data

Mayo Clinic Primary Biliary Cirrhosis Data

Fit Proportional Hazards Regression Model

Verify that an object is of class ratetable.

Rat data from Gail et al.

Reliability data sets

residuals.coxph

Calculate Residuals for a `coxph' Fit

Graphical Test of Proportional Hazards

Plot an aareg object.

residuals.survreg

Compute Residuals for `survreg' Objects

Print an aareg object

predict.survreg

Predicted Values for a `survreg' Object

quantile.survfit

Quantiles from a survfit object

Kidney catheter data

Ovarian Cancer Survival Data

Rate table structure

Convert date objects to ratetable form

Draw a state space figure.

survConcordance

Compute a concordance measure.

More Stanford Heart Transplant data

Split a survival data set at specified times

Checks of a survival data set

Ridge regression

Data from a soldering experiment

Rat treatment data from Mantel et al

Test Survival Curve Differences

survfitcoxph.fit

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

survival-internal

Internal survival functions

Convert the format of a survfit object.

Survival Curve Object

summary.survexp

Summary function for a survexp object

Plot method for survfit objects

Liver transplant waiting list

Predictions for a Cox model

Smoothing splines using a pspline basis

Tobin's Tobit data

Regression for a Parametric Survival Model

summary.survfit

Summary of a Survival Curve

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

print.summary.survfit

Print Survfit Summary

Data from a trial of usrodeoxycholic acid

untangle.specials

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

Identify Stratification Variables

Summarize an aareg fit

Print a Short Summary of a Survival Curve

Summary method for Cox models

Diabetic Retinopathy

rhDNASE data set

Summary function for pyears objecs

Census Data Sets for the Expected Survival and Person Years Functions

survreg.control

Package options for survreg and coxph

survreg.distributions

Parametric Survival Distributions

survfit.formula

Compute a Survival Curve for Censored Data

Expected Survival Curve Object

Parametric Survival Model Object

Compute Expected Survival

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

Sorting order for Surv objects

Veterans' Administration Lung Cancer study

Variance-covariance matrix

Projected US Population

Verify a survreg distribution

Method for adding new models to the yates function.

Create survival curves

Population prediction

Compute Expected Survival

Compute a Survival Curve from a Cox model

Factors for person-year calculations

Time based merge for survival data

Acute Myelogenous Leukemia survival data

Bladder Cancer Recurrences

Adjudicate near ties in a Surv object

Create new-style "assign" attribute