survival v2.43-1

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Survival Analysis

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.

Functions in survival

Name Description
aareg Aalen's additive regression model for censored data
coxph Fit Proportional Hazards Regression Model
coxph.control Ancillary arguments for controlling coxph fits
basehaz Alias for the survfit function
coxph.detail Details of a Cox Model Fit
logan Data from the 1972-78 GSS data used by Logan
lung NCCTG Lung Cancer Data
clogit Conditional logistic regression
bladder Bladder Cancer Recurrences
lines.survfit Add Lines or Points to a Survival Plot
Surv Create a Survival Object
logLik.coxph logLik method for a Cox model
myeloid Acute myeloid leukemia
cluster Identify clusters.
Surv-methods Methods for Surv objects
dsurvreg Distributions available in survreg.
diabetic Ddiabetic retinopathy
colon Chemotherapy for Stage B/C colon cancer
levels.Surv Return the states of a multi-state Surv object
pbcseq Mayo Clinic Primary Biliary Cirrhosis, sequential data
kidney Kidney catheter data
pbc Mayo Clinic Primary Biliary Cirrhosis Data
neardate Find the index of the closest value in data set 2, for each entry in data set one.
anova.coxph Analysis of Deviance for a Cox model.
attrassign Create new-style "assign" attribute
coxph.object Proportional Hazards Regression Object
concordance Compute the concordance statistic for data or a model
coxph.wtest Compute a quadratic form
print.summary.coxph Print method for summary.coxph objects
retinopathy Diabetic Retinopathy
residuals.survreg Compute Residuals for `survreg' Objects
plot.survfit Plot method for survfit objects
mgus Monoclonal gammopathy data
solder Data from a soldering experiment
nwtco Data from the National Wilm's Tumor Study
stanford2 More Stanford Heart Transplant data
predict.coxph Predictions for a Cox model
print.summary.survexp Print Survexp Summary
mgus2 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
survexp.object Expected Survival Curve Object
cch Fits proportional hazards regression model to case-cohort data
cgd Chronic Granulotamous Disease data
ratetables Census Data Sets for the Expected Survival and Person Years Functions
finegray Create data for a Fine-Gray model
ovarian Ovarian Cancer Survival Data
survreg.distributions Parametric Survival Distributions
rats2 Rat data from Gail et al.
residuals.coxph Calculate Residuals for a `coxph' Fit
survreg.object Parametric Survival Model Object
ratetableDate 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
survfit.matrix Create Aalen-Johansen estimates of multi-state survival from a matrix of hazards.
flchain Assay of serum free light chain for 7874 subjects.
untangle.specials Help Process the `specials' Argument of the `terms' Function.
heart Stanford Heart Transplant data
is.ratetable Verify that an object is of class ratetable.
rats Rat treatment data from Mantel et al
print.survfit Print a Short Summary of a Survival Curve
survSplit Split a survival data set at specified times
pspline Smoothing splines using a pspline basis
pyears Person Years
uspop2 Projected US Population
survregDtest Verify a survreg distribution
statefig Draw a state space figure.
strata Identify Stratification Variables
survdiff Test Survival Curve Differences
survexp Compute Expected Survival
tcut Factors for person-year calculations
agreg.fit Cox model fitting functions
vcov.coxph Variance-covariance matrix
veteran Veterans' Administration Lung Cancer study
aml Acute Myelogenous Leukemia survival data
survexp.fit Compute Expected Survival
survreg Regression for a Parametric Survival Model
rhDNase rhDNASE data set
cgd0 Chronic Granulotomous Disease data
survfit.object Survival Curve Object
survreg.control Package options for survreg and coxph
survfitcoxph.fit A direct interface to the `computational engine' of survfit.coxph
cipoisson Confidence limits for the Poisson
summary.aareg Summarize an aareg fit
ridge Ridge regression
frailty Random effects terms
tmerge Time based merge for survival data
genfan Generator fans
plot.aareg Plot an aareg object.
tobin Tobin's Tobit data
plot.cox.zph Graphical Test of Proportional Hazards
yates_setup Method for adding new models to the yates function.
quantile.survfit Quantiles from a survfit object
print.aareg Print an aareg object
predict.survreg Predicted Values for a `survreg' Object
summary.coxph Summary method for Cox models
transplant Liver transplant waiting list
udca Data from a trial of usrodeoxycholic acid
ratetable Rate table structure
summary.pyears Summary function for pyears objecs
summary.survexp Summary function for a survexp object
survfit Create survival curves
survival-internal Internal survival functions
survfit.coxph Compute a Survival Curve from a Cox model
survobrien O'Brien's Test for Association of a Single Variable with Survival
xtfrm.Surv Sorting order for Surv objects
yates Population prediction
aeqSurv Adjudicate near ties in a Surv object
cox.zph Test the Proportional Hazards Assumption of a Cox Regression
No Results!

Vignettes of survival

Name
adjcurve.Rnw
compete.Rnw
concordance.Rnw
multi.Rnw
population.Rnw
refer.bib
splines.Rnw
temp.r
tests.Rnw
tiedtimes.Rnw
timedep.Rnw
validate.Rnw
No Results!

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Details

Priority recommended
LazyData Yes
LazyLoad Yes
ByteCompile Yes
License LGPL (>= 2)
URL https://github.com/therneau/survival
NeedsCompilation yes
Packaged 2018-10-29 12:49:42 UTC; therneau
Repository CRAN
Date/Publication 2018-10-29 19:20:03 UTC

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