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survMisc (version 0.4.6)

Miscellaneous Functions for Survival Data

Description

A collection of functions for analysis of survival data. These extend the methods available in the package survival.

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Version

Install

install.packages('survMisc')

Monthly Downloads

29,259

Version

0.4.6

License

GPL-2

Maintainer

Chris Dardis

Last Published

April 15th, 2015

Functions in survMisc (0.4.6)

autoplot.rpart

Generate a ggplot for an rpart object

autoplot.survfit

Generate a ggplot for a survfit object

sig

Significiance tests of coefficients in a coxph model

comp

Compare survival curves

tne

Time, No. at risk, No. events

survMisc-package

Miscellaneous functions for survival analysis.

covMatSurv

Covariance matrix for survival data

btumors

Brain tumors trial data

mean.Surv

Mean for Surv object

mpip

Multi-center Post-Infarction Project

cutp

Cutpoint for a continuous variable in a coxph or survfit model

as.Surv

Convert time and status to a right-censored survival object, ordered by time

Dataset.

gof

Goodness of fit test for coxph models

rsq

r^2 measures for a a coxph or survfit model

gamTerms

Individual terms of a Generalized Additive or Cox Proportional Hazards Model

Information criterion

Confidence intervals for survival curves

local

Local tests for a model

tneBMT

Time, no. at risk, no. events for BMT data

plotTerm

Plot individual terms of a Generalized Additive gam or Cox Proportional Hazards coxph Model

air

Environmental data timeseries

whas100

Worcester Heart Attack Study WHAS100 Data

plot.Surv

Plot Survival object

plot.MultiCoxph

Plot an multi.coxph object

tableRhs

Table the outcome against all predictors in a formula

gastric

gastric cancer trial data

multi

Multiple coxph models

tneKidney

Time, no. at risk, no. events for kidney data.

autoplot.tableAndPlot

Arrange and plot a survival plot, it's legend and a table.

lrSS

Sample size required to show difference in survival by log-rank test given prior information about Kaplan-Meier estimate

whas500

Worcester Heart Attack Study WHAS500 Data

Estimates of survival (or hazard) function based on $n$ and $e$

Diagnostics for coxph models

quantile

Quantiles and median for Surv, survfit and coxph objects

profLik

Profile likelihood for coefficients in Coxph model

genSurv

Generate survival data