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survival (version 3.5-3)

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

3.5-3

License

LGPL (>= 2)

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Repository

https://github.com/therneau/survival

Maintainer

Last Published

February 12th, 2023

Functions in survival (3.5-3)

Bounded link functions

Confidence limits for the Poisson

Create new-style "assign" attribute

Identify clusters.

Chronic Granulotomous Disease data

Conditional logistic regression

Alias for the survfit function

Fits proportional hazards regression model to case-cohort data

Bladder Cancer Recurrences

Chronic Granulotamous Disease data

Compute the concordance

Details of a Cox Model Fit

Chemotherapy for Stage B/C colon cancer

Ancillary arguments for controlling coxph fits

Compute a quadratic form

Proportional Hazards Regression Object

Multi-state Proportional Hazards Regression Object

Test the Proportional Hazards Assumption of a Cox Regression

Fit Proportional Hazards Regression Model

Compute the concordance statistic for data or a model

Stanford Heart Transplant data

Assay of serum free light chain for 7874 subjects.

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

Verify that an object is of class ratetable.

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

Kidney catheter data

Random effects terms

Distributions available in survreg.

Create data for a Fine-Gray model

Ddiabetic retinopathy

NCCTG Lung Cancer Data

model.matrix.coxph

Model.matrix method for coxph models

logLik method for a Cox model

model.frame.coxph

Model.frame method for coxph objects

Acute myeloid leukemia

Data from the 1972-78 GSS data used by Logan

Return the states of a multi-state Surv object

Add Lines or Points to a Survival Plot

Monoclonal gammopathy data

Plot an aareg object.

Monoclonal gammopathy data

Non-alcohol fatty liver disease

Natural splines with knot heights as the basis.

Data from the National Wilm's Tumor Study

Survival times of patients with multiple myeloma

Mayo Clinic Primary Biliary Cirrhosis, sequential data

Mayo Clinic Primary Biliary Cholangitis Data

Ovarian Cancer Survival Data

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

Graphical Test of Proportional Hazards

Pseudo values for survival.

print.summary.coxph

Print method for summary.coxph objects

predict.survreg

Predicted Values for a `survreg' Object

Smoothing splines using a pspline basis

print.summary.survexp

Print Survexp Summary

Print a Short Summary of a Survival Curve

Plot method for survfit objects

Predictions for a Cox model

print.summary.survfit

Print Survfit Summary

Print an aareg object

Convert date objects to ratetable form

residuals.survfit

IJ residuals from a survfit object.

Reliability data sets

residuals.coxph

Calculate Residuals for a `coxph' Fit

quantile.survfit

Quantiles from a survfit object

Allow ratetable() terms in a model

Rat data from Gail et al.

Rat treatment data from Mantel et al

residuals.survreg

Compute Residuals for `survreg' Objects

Identify Stratification Variables

Diabetic Retinopathy

Compute redistribute-to-the-right weights

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

Data from a soldering experiment

rhDNASE data set

More Stanford Heart Transplant data

Compute Royston's D for a Cox model

Draw a state space figure.

Ridge regression

Checks of a survival data set

summary.survexp

Summary function for a survexp object

Summary method for Cox models

Test Survival Curve Differences

Summarize an aareg fit

Shorten a (time1, time2) survival dataset

summary.survfit

Summary of a Survival Curve

Summary function for pyears objecs

Compute Expected Survival

Split a survival data set at specified times

Expected Survival Curve Object

Create survival curves

Compute a Survival Curve from a Cox model

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

survfitcoxph.fit

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

survfit.formula

Compute a Survival Curve for Censored Data

Compute Expected Survival

Convert the format of a survfit object.

Survival Curve Object

Census Data Sets for the Expected Survival and Person Years Functions

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

Regression for a Parametric Survival Model

Factors for person-year calculations

survreg.control

Package options for survreg and coxph

survival-internal

Internal survival functions

Verify a survreg distribution

Time based merge for survival data

Parametric Survival Model Object

survival-deprecated

Deprecated functions in package survival

survreg.distributions

Parametric Survival Distributions

untangle.specials

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

Liver transplant waiting list

Sorting order for Surv objects

Tobin's Tobit data

Variance-covariance matrix

Projected US Population

Data from a trial of usrodeoxycholic acid

Veterans' Administration Lung Cancer study

Method for adding new models to the yates function.

Population prediction

Analysis of Deviance for a Cox model.

Acute Myelogenous Leukemia survival data

Aalen's additive regression model for censored data

Convert data from timecourse to (time1,time2) style

Cox model fitting functions

Methods for Surv objects

Create a survival object

Create a Survival Object

Adjudicate near ties in a Surv object

aggregate.survfit

Average survival curves