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survival (version 3.1-8)

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')

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132,377

Version

3.1-8

License

LGPL (>= 2)

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Repository

https://github.com/therneau/survival

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Last Published

December 3rd, 2019

Functions in survival (3.1-8)

Acute Myelogenous Leukemia survival data

Create new-style "assign" attribute

Methods for Surv objects

Adjudicate near ties in a Surv object

Alias for the survfit function

Analysis of Deviance for a Cox model.

Create a Survival Object

Aalen's additive regression model for censored data

Cox model fitting functions

Bladder Cancer Recurrences

Compute the concordance

Chemotherapy for Stage B/C colon cancer

Compute the concordance statistic for data or a model

Conditional logistic regression

Identify clusters.

Confidence limits for the Poisson

Chronic Granulotomous Disease data

Test the Proportional Hazards Assumption of a Cox Regression

Distributions available in survreg.

Chronic Granulotamous Disease data

Compute a quadratic form

Fits proportional hazards regression model to case-cohort data

Ddiabetic retinopathy

Details of a Cox Model Fit

Random effects terms

Stanford Heart Transplant data

Monoclonal gammopathy data

Ancillary arguments for controlling coxph fits

NCCTG Lung Cancer Data

Return the states of a multi-state Surv object

Fit Proportional Hazards Regression Model

Proportional Hazards Regression Object

Add Lines or Points to a Survival Plot

Create data for a Fine-Gray model

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

Assay of serum free light chain for 7874 subjects.

Data from the 1972-78 GSS data used by Logan

logLik method for a Cox model

Verify that an object is of class ratetable.

Kidney catheter data

Ovarian Cancer Survival Data

Non-alcohol fatty liver disease

Monoclonal gammopathy data

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

Mayo Clinic Primary Biliary Cirrhosis Data

Data from the National Wilm's Tumor Study

Acute myeloid leukemia

model.matrix.coxph

Model.matrix method for coxph models

Mayo Clinic Primary Biliary Cirrhosis, sequential data

model.frame.coxph

Model.frame method for coxph objects

Print a Short Summary of a Survival Curve

print.summary.coxph

Print method for summary.coxph objects

Graphical Test of Proportional Hazards

print.summary.survfit

Print Survfit Summary

print.summary.survexp

Print Survexp Summary

Plot an aareg object.

predict.survreg

Predicted Values for a `survreg' Object

Print an aareg object

Plot method for survfit objects

quantile.survfit

Quantiles from a survfit object

Predictions for a Cox model

Smoothing splines using a pspline basis

residuals.survreg

Compute Residuals for `survreg' Objects

residuals.coxph

Calculate Residuals for a `coxph' Fit

Rat treatment data from Mantel et al

Summary method for Cox models

Rate table structure

More Stanford Heart Transplant data

Convert date objects to ratetable form

Summarize an aareg fit

Identify Stratification Variables

Rat data from Gail et al.

Ridge regression

Draw a state space figure.

Compute Expected Survival

Create survival curves

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

Regression for a Parametric Survival Model

Data from a soldering experiment

Split a survival data set at specified times

Expected Survival Curve Object

Census Data Sets for the Expected Survival and Person Years Functions

survConcordance

Compute a concordance measure.

Reliability data sets

Projected US Population

Verify a survreg distribution

Summary function for pyears objecs

Parametric Survival Model Object

Compute Expected Survival

Variance-covariance matrix

Tobin's Tobit data

Compute a Survival Curve from a Cox model

Diabetic Retinopathy

Liver transplant waiting list

survival-internal

Internal survival functions

survreg.control

Package options for survreg and coxph

survfitcoxph.fit

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

survreg.distributions

Parametric Survival Distributions

rhDNASE data set

summary.survexp

Summary function for a survexp object

survfit.formula

Compute a Survival Curve for Censored Data

summary.survfit

Summary of a Survival Curve

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

Population prediction

Checks of a survival data set

Test Survival Curve Differences

Convert the format of a survfit object.

untangle.specials

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

Data from a trial of usrodeoxycholic acid

Survival Curve Object

Method for adding new models to the yates function.

Factors for person-year calculations

Time based merge for survival data

Sorting order for Surv objects

Veterans' Administration Lung Cancer study