# 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! |

## Last month downloads

## 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 |

imports | graphics , Matrix , methods , splines , stats , utils |

depends | R (>= 2.13.0) |

Contributors | Thomas Lumley |

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