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survival (version 2.42-3)

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.packages('survival')

Monthly Downloads

126,015

Version

2.42-3

License

LGPL (>= 2)

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Repository

https://github.com/therneau/survival

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Last Published

April 16th, 2018

Functions in survival (2.42-3)

Acute Myelogenous Leukemia survival data

Confidence limits for the Poisson

Proportional Hazards Regression Object

Compute a quadratic form

Conditional logistic regression

model.frame.coxph

Model.frame method for coxph objects

model.matrix.coxph

Model.matrix method for coxph models

Data from the National Wilm's Tumor Study

Ovarian Cancer Survival Data

print.summary.coxph

Print method for summary.coxph objects

Adjudicate near ties in a Surv object

Cox model fitting functions

print.summary.survexp

Print Survexp Summary

Chronic Granulotomous Disease data

Chronic Granulotomous Disease data

Data from a soldering experiment

Kidney catheter data

Verify that an object is of class ratetable.

Acute myeloid leukemia

More Stanford Heart Transplant data

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

Plot method for survfit objects

Bladder Cancer Recurrences

Fits proportional hazards regression model to case-cohort data

Summarize an aareg fit

Summary method for Cox models

Predictions for a Cox model

Identify clusters.

Survival Curve Object

survfitcoxph.fit

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

Chemotherapy for Stage B/C colon cancer

Create new-style "assign" attribute

survreg.distributions

Parametric Survival Distributions

Create a Survival Object

quantile.survfit

Quantiles from a survfit object

Distributions available in survreg.

Aalen's additive regression model for censored data

Parametric Survival Model Object

Projected US Population

Variance-covariance matrix

Test the Proportional Hazards Assumption of a Cox Regression

Rate table structure

Fit Proportional Hazards Regression Model

Diabetic Retinopathy

residuals.survreg

Compute Residuals for `survreg' Objects

Alias for the survfit function

Random effects terms

Create data for a Fine-Gray model

Assay of serum free light chain for 7874 subjects.

Split a survival data set at specified times

Data from the 1972-78 GSS data used by Logan

Test Survival Curve Differences

Expected Survival Curve Object

NCCTG Lung Cancer Data

predict.survreg

Predicted Values for a `survreg' Object

Monoclonal gammapothy data

Monoclonal gammapothy data

Census Data Sets for the Expected Survival and Person Years Functions

Ancillary arguments for controlling coxph fits

Print an aareg object

Time based merge for survival data

Convert date objects to ratetable form

Details of a Cox Model Fit

Tobin's Tobit data

Mayo Clinic Primary Biliary Cirrhosis Data

Mayo Clinic Primary Biliary Cirrhosis, sequential data

Stanford Heart Transplant data

Smoothing splines using a pspline basis

Add Lines or Points to a Survival Plot

Rat treatment data from Mantel et al

Plot an aareg object.

logLik method for a Cox model

Draw a state space figure.

Rat data from Gail et al.

Graphical Test of Proportional Hazards

residuals.coxph

Calculate Residuals for a `coxph' Fit

Print a Short Summary of a Survival Curve

Identify Stratification Variables

print.summary.survfit

Print Survfit Summary

rhDNASE data set

Ridge regression

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.

Summary function for pyears objecs

Regression for a Parametric Survival Model

summary.survexp

Summary function for a survexp object

Create survival curves

survreg.control

Package options for survreg and coxph

Method for adding new models to the yates function.

Compute a Survival Curve from a Cox model

Verify a survreg distribution

Factors for person-year calculations

Compute Expected Survival

survival-internal

Internal survival functions

Compute Expected Survival

Liver transplant waiting list

Veterans' Administration Lung Cancer study

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

untangle.specials

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

Population prediction

Analysis of Deviance for a Cox model.