survival v3.2-7
0
Monthly downloads
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 | |
Surv2data | Convert data from timecourse to (time1,time2) style | |
agreg.fit | Cox model fitting functions | |
aml | Acute Myelogenous Leukemia survival data | |
Surv | Create a Survival Object | |
Surv2 | Create a survival object | |
aareg | Aalen's additive regression model for censored data | |
Surv-methods | Methods for Surv objects | |
aeqSurv | Adjudicate near ties in a Surv object | |
basehaz | Alias for the survfit function | |
anova.coxph | Analysis of Deviance for a Cox model. | |
colon | Chemotherapy for Stage B/C colon cancer | |
concordance | Compute the concordance statistic for data or a model | |
coxph.detail | Details of a Cox Model Fit | |
coxph.object | Proportional Hazards Regression Object | |
cch | Fits proportional hazards regression model to case-cohort data | |
attrassign | Create new-style "assign" attribute | |
cluster | Identify clusters. | |
clogit | Conditional logistic regression | |
cipoisson | Confidence limits for the Poisson | |
cgd0 | Chronic Granulotomous Disease data | |
diabetic | Ddiabetic retinopathy | |
coxph.wtest | Compute a quadratic form | |
cgd | Chronic Granulotamous Disease data | |
frailty | Random effects terms | |
lines.survfit | Add Lines or Points to a Survival Plot | |
cox.zph | Test the Proportional Hazards Assumption of a Cox Regression | |
concordancefit | Compute the concordance | |
coxsurv.fit | A direct interface to the `computational engine' of survfit.coxph | |
logLik.coxph | logLik method for a Cox model | |
gbsg | Breast cancer data sets used in Royston and Altman (2013) | |
bladder | Bladder Cancer Recurrences | |
coxph | Fit Proportional Hazards Regression Model | |
coxph.control | Ancillary arguments for controlling coxph fits | |
heart | Stanford Heart Transplant data | |
mgus2 | Monoclonal gammopathy data | |
finegray | Create data for a Fine-Gray model | |
is.ratetable | Verify that an object is of class ratetable. | |
logan | Data from the 1972-78 GSS data used by Logan | |
mgus | Monoclonal gammopathy data | |
print.aareg | Print an aareg object | |
lung | NCCTG Lung Cancer Data | |
dsurvreg | Distributions available in survreg. | |
model.frame.coxph | Model.frame method for coxph objects | |
print.summary.coxph | Print method for summary.coxph objects | |
ratetable | Rate table structure | |
ratetableDate | Convert date objects to ratetable form | |
rttright | Compute redistribute-to-the-right weights | |
survConcordance | Compute a concordance measure. | |
solder | Data from a soldering experiment | |
myeloid | Acute myeloid leukemia | |
flchain | Assay of serum free light chain for 7874 subjects. | |
pbcseq | Mayo Clinic Primary Biliary Cirrhosis, sequential data | |
nafld | Non-alcohol fatty liver disease | |
kidney | Kidney catheter data | |
levels.Surv | Return the states of a multi-state Surv object | |
model.matrix.coxph | Model.matrix method for coxph models | |
plot.aareg | Plot an aareg object. | |
neardate | Find the index of the closest value in data set 2, for each entry in data set one. | |
pyears | Person Years | |
print.summary.survexp | Print Survexp Summary | |
pbc | Mayo Clinic Primary Biliary Cirrhosis Data | |
ovarian | Ovarian Cancer Survival Data | |
print.summary.survfit | Print Survfit Summary | |
survcheck | Checks of a survival data set | |
survdiff | Test Survival Curve Differences | |
plot.cox.zph | Graphical Test of Proportional Hazards | |
survSplit | Split a survival data set at specified times | |
nwtco | Data from the National Wilm's Tumor Study | |
survregDtest | Verify a survreg distribution | |
quantile.survfit | Quantiles from a survfit object | |
survreg.object | Parametric Survival Model Object | |
residuals.coxph | Calculate Residuals for a `coxph' Fit | |
residuals.survreg | Compute Residuals for `survreg' Objects | |
summary.coxph | Summary method for Cox models | |
retinopathy | Diabetic Retinopathy | |
reliability | Reliability data sets | |
survexp.object | Expected Survival Curve Object | |
summary.pyears | Summary function for pyears objecs | |
ratetables | Census Data Sets for the Expected Survival and Person Years Functions | |
survreg.control | Package options for survreg and coxph | |
tcut | Factors for person-year calculations | |
uspop2 | Projected US Population | |
survreg.distributions | Parametric Survival Distributions | |
vcov.coxph | Variance-covariance matrix | |
rats | Rat treatment data from Mantel et al | |
predict.coxph | Predictions for a Cox model | |
rotterdam | Breast cancer data set used in Royston and Altman (2013) | |
rats2 | Rat data from Gail et al. | |
plot.survfit | Plot method for survfit objects | |
rhDNase | rhDNASE data set | |
pspline | Smoothing splines using a pspline basis | |
royston | Compute Royston's D for a Cox model | |
print.survfit | Print a Short Summary of a Survival Curve | |
summary.survexp | Summary function for a survexp object | |
survfit.formula | Compute a Survival Curve for Censored Data | |
strata | Identify Stratification Variables | |
predict.survreg | Predicted Values for a `survreg' Object | |
summary.aareg | Summarize an aareg fit | |
survfit.matrix | Create Aalen-Johansen estimates of multi-state survival from a matrix of hazards. | |
ridge | Ridge regression | |
statefig | Draw a state space figure. | |
stanford2 | More Stanford Heart Transplant data | |
tmerge | Time based merge for survival data | |
survobrien | O'Brien's Test for Association of a Single Variable with Survival | |
survfit | Create survival curves | |
yates | Population prediction | |
yates_setup | Method for adding new models to the yates function. | |
summary.survfit | Summary of a Survival Curve | |
survfitcoxph.fit | A direct interface to the `computational engine' of survfit.coxph | |
survreg | Regression for a Parametric Survival Model | |
survfit.coxph | Compute a Survival Curve from a Cox model | |
survexp | Compute Expected Survival | |
survival-internal | Internal survival functions | |
untangle.specials | Help Process the `specials' Argument of the `terms' Function. | |
survexp.fit | Compute Expected Survival | |
udca | Data from a trial of usrodeoxycholic acid | |
veteran | Veterans' Administration Lung Cancer study | |
xtfrm.Surv | Sorting order for Surv objects | |
survfit0 | Convert the format of a survfit object. | |
survfit.object | Survival Curve Object | |
tobin | Tobin's Tobit data | |
transplant | Liver transplant waiting list | |
No Results! |
Vignettes of survival
Name | ||
adjcurve.Rnw | ||
approximate.Rnw | ||
compete.Rnw | ||
concordance.Rnw | ||
multi.Rnw | ||
other.Rnw | ||
population.Rnw | ||
refer.bib | ||
splines.Rnw | ||
survival.Rnw | ||
tiedtimes.Rnw | ||
timedep.Rnw | ||
validate.Rnw | ||
No Results! |
Last month downloads
Details
Priority | recommended |
Date | 2020-09-24 |
LazyData | Yes |
LazyLoad | Yes |
ByteCompile | Yes |
License | LGPL (>= 2) |
URL | https://github.com/therneau/survival |
NeedsCompilation | yes |
Packaged | 2020-09-25 17:55:24 UTC; therneau |
Repository | CRAN |
Date/Publication | 2020-09-28 08:20:02 UTC |
imports | graphics , Matrix , methods , splines , stats , utils |
depends | R (>= 3.4.0) |
Contributors | Thomas Lumley, Atkinson Elizabeth, Crowson Cynthia |
Include our badge in your README
[](http://www.rdocumentation.org/packages/survival)