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survival (version 2.43-1)

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

98,782

Version

2.43-1

License

LGPL (>= 2)

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Repository

https://github.com/therneau/survival

Maintainer

Terry Therneau

Last Published

October 29th, 2018

Functions in survival (2.43-1)

Aalen's additive regression model for censored data

Fit Proportional Hazards Regression Model

Ancillary arguments for controlling coxph fits

Alias for the survfit function

Details of a Cox Model Fit

Data from the 1972-78 GSS data used by Logan

NCCTG Lung Cancer Data

Conditional logistic regression

Bladder Cancer Recurrences

Add Lines or Points to a Survival Plot

Create a Survival Object

logLik method for a Cox model

Acute myeloid leukemia

Identify clusters.

Methods for Surv objects

Distributions available in survreg.

Ddiabetic retinopathy

Chemotherapy for Stage B/C colon cancer

Return the states of a multi-state Surv object

Mayo Clinic Primary Biliary Cirrhosis, sequential data

Kidney catheter data

Mayo Clinic Primary Biliary Cirrhosis Data

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

Analysis of Deviance for a Cox model.

Create new-style "assign" attribute

Proportional Hazards Regression Object

Compute the concordance statistic for data or a model

Compute a quadratic form

print.summary.coxph

Print method for summary.coxph objects

Diabetic Retinopathy

residuals.survreg

Compute Residuals for `survreg' Objects

Plot method for survfit objects

Monoclonal gammopathy data

Data from a soldering experiment

Data from the National Wilm's Tumor Study

More Stanford Heart Transplant data

Predictions for a Cox model

print.summary.survexp

Print Survexp Summary

Monoclonal gammopathy data

model.matrix.coxph

Model.matrix method for coxph models

print.summary.survfit

Print Survfit Summary

model.frame.coxph

Model.frame method for coxph objects

Expected Survival Curve Object

Fits proportional hazards regression model to case-cohort data

Chronic Granulotamous Disease data

Census Data Sets for the Expected Survival and Person Years Functions

Create data for a Fine-Gray model

Ovarian Cancer Survival Data

survreg.distributions

Parametric Survival Distributions

Rat data from Gail et al.

residuals.coxph

Calculate Residuals for a `coxph' Fit

Parametric Survival Model Object

Convert date objects to ratetable form

summary.survfit

Summary of a Survival Curve

survConcordance

Compute a concordance measure.

survfit.formula

Compute a Survival Curve for Censored Data

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

Assay of serum free light chain for 7874 subjects.

untangle.specials

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

Stanford Heart Transplant data

Verify that an object is of class ratetable.

Rat treatment data from Mantel et al

Print a Short Summary of a Survival Curve

Split a survival data set at specified times

Smoothing splines using a pspline basis

Projected US Population

Verify a survreg distribution

Draw a state space figure.

Identify Stratification Variables

Test Survival Curve Differences

Compute Expected Survival

Factors for person-year calculations

Cox model fitting functions

Variance-covariance matrix

Veterans' Administration Lung Cancer study

Acute Myelogenous Leukemia survival data

Compute Expected Survival

Regression for a Parametric Survival Model

rhDNASE data set

Chronic Granulotomous Disease data

Survival Curve Object

survreg.control

Package options for survreg and coxph

survfitcoxph.fit

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

Confidence limits for the Poisson

Summarize an aareg fit

Ridge regression

Random effects terms

Time based merge for survival data

Plot an aareg object.

Tobin's Tobit data

Graphical Test of Proportional Hazards

Method for adding new models to the yates function.

quantile.survfit

Quantiles from a survfit object

Print an aareg object

predict.survreg

Predicted Values for a `survreg' Object

Summary method for Cox models

Liver transplant waiting list

Data from a trial of usrodeoxycholic acid

Rate table structure

Summary function for pyears objecs

summary.survexp

Summary function for a survexp object

Create survival curves

survival-internal

Internal survival functions

Compute a Survival Curve from a Cox model

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

Sorting order for Surv objects

Population prediction

Adjudicate near ties in a Surv object

Test the Proportional Hazards Assumption of a Cox Regression