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survival (version 3.3-1)

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

132,377

Version

3.3-1

License

LGPL (>= 2)

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Repository

https://github.com/therneau/survival

Maintainer

Last Published

March 3rd, 2022

Functions in survival (3.3-1)

Adjudicate near ties in a Surv object

Convert data from timecourse to (time1,time2) style

Cox model fitting functions

aggregate.survfit

Average survival curves

Aalen's additive regression model for censored data

Methods for Surv objects

Create a survival object

Acute Myelogenous Leukemia survival data

Create a Survival Object

Analysis of Deviance for a Cox model.

Conditional logistic regression

Chronic Granulotomous Disease data

Chronic Granulotamous Disease data

Fits proportional hazards regression model to case-cohort data

Chemotherapy for Stage B/C colon cancer

Distributions available in survreg.

Compute the concordance statistic for data or a model

Confidence limits for the Poisson

Create data for a Fine-Gray model

Compute a quadratic form

Ddiabetic retinopathy

Create new-style "assign" attribute

Alias for the survfit function

Assay of serum free light chain for 7874 subjects.

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

Acute myeloid leukemia

model.frame.coxph

Model.frame method for coxph objects

Survival times of patients with multiple myeloma

Ovarian Cancer Survival Data

Mayo Clinic Primary Biliary Cholangitis Data

model.matrix.coxph

Model.matrix method for coxph models

Proportional Hazards Regression Object

Identify clusters.

Details of a Cox Model Fit

Kidney catheter data

Return the states of a multi-state Surv object

Fit Proportional Hazards Regression Model

Non-alcohol fatty liver disease

Ancillary arguments for controlling coxph fits

Graphical Test of Proportional Hazards

Monoclonal gammopathy data

Monoclonal gammopathy data

Random effects terms

print.summary.survexp

Print Survexp Summary

Data from the 1972-78 GSS data used by Logan

NCCTG Lung Cancer Data

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

Data from the National Wilm's Tumor Study

Natural splines with knot heights as the basis.

Smoothing splines using a pspline basis

print.summary.survfit

Print Survfit Summary

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

Convert date objects to ratetable form

Rat treatment data from Mantel et al

Plot method for survfit objects

More Stanford Heart Transplant data

Bounded link functions

Predictions for a Cox model

predict.survreg

Predicted Values for a `survreg' Object

Compute the concordance

Test the Proportional Hazards Assumption of a Cox Regression

Bladder Cancer Recurrences

Draw a state space figure.

summary.survexp

Summary function for a survexp object

Print a Short Summary of a Survival Curve

Rat data from Gail et al.

Compute Expected Survival

Expected Survival Curve Object

Rate table structure

quantile.survfit

Quantiles from a survfit object

Stanford Heart Transplant data

Census Data Sets for the Expected Survival and Person Years Functions

residuals.coxph

Calculate Residuals for a `coxph' Fit

Pseudo values for survival.

Diabetic Retinopathy

residuals.survreg

Compute Residuals for `survreg' Objects

summary.survfit

Summary of a Survival Curve

Factors for person-year calculations

Verify that an object is of class ratetable.

Time based merge for survival data

Add Lines or Points to a Survival Plot

Compute redistribute-to-the-right weights

Mayo Clinic Primary Biliary Cirrhosis, sequential data

logLik method for a Cox model

Create survival curves

survfit.formula

Compute a Survival Curve for Censored Data

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

Reliability data sets

Compute a Survival Curve from a Cox model

Data from a soldering experiment

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

residuals.survfit

IJ residuals from a survfit object.

Regression for a Parametric Survival Model

Summary method for Cox models

Population prediction

survival-deprecated

Deprecated functions in package survival

Compute Royston's D for a Cox model

Summary function for pyears objecs

survival-internal

Internal survival functions

Plot an aareg object.

Method for adding new models to the yates function.

print.summary.coxph

Print method for summary.coxph objects

rhDNASE data set

Print an aareg object

Identify Stratification Variables

Ridge regression

Verify a survreg distribution

Projected US Population

Parametric Survival Model Object

Data from a trial of usrodeoxycholic acid

Test Survival Curve Differences

untangle.specials

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

Compute Expected Survival

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

Summarize an aareg fit

Split a survival data set at specified times

survreg.control

Package options for survreg and coxph

Survival Curve Object

survreg.distributions

Parametric Survival Distributions

Checks of a survival data set

Variance-covariance matrix

Convert the format of a survfit object.

survfitcoxph.fit

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

Tobin's Tobit data

Veterans' Administration Lung Cancer study

Sorting order for Surv objects

Liver transplant waiting list