Package index • prodlim

All functions

EventHistory.frame(): Event history frame
Hist(): Create an event history object
List2Matrix(): Reduce list to a matrix or data.frame with names as new columns
PercentAxis(): Percentage-labeled axis.
SimCompRisk(): Simulate competing risks data
SimSurv(): Simulate survival data
SmartControl(): Function to facilitate the control of arguments passed to subroutines.
as.data.frame(<prodlim>): Turn prodlim objects into a data.frame
as.data.table(<prodlim>): Turn prodlim objects into a data.table
as_tibble.prodlim(): Turn prodlim objects into a tibble
atRisk(): Drawing numbers of subjects at-risk of experiencing an event below Kaplan-Meier and Aalen-Johansen plots.
backGround(): Background and grid color control.
checkCauses(): Check availability of a cause in competing risk settings
confInt(): Add point-wise confidence limits to the graphs of Kaplan-Meier and Aalen-Johansen estimates.
crModel(): Competing risks model for simulation
dimColor(): Dim a given color to a specified density
followup(): Estimation of the median potential followup time.
geom_prodlim(): Product-limit geoms for survival and competing risks curves
getEvent(): Extract a column from an event history object.
getStates(): States of a multi-state model
ggprodlim(): ggplot2 support for prodlim objects
head(<Hist>): Check the head of an event history object
is.na(<Hist>): Check for missing values in event history object
jackknife(): Compute jackknife pseudo values.
leaveOneOut(): Compute jackknife pseudo values.
markTime(): Marking product-limit plots at the censored times.
meanNeighbors(): Helper function to obtain running means for prodlim objects.
model.design(): Extract a design matrix and specials from a model.frame
neighborhood(): Nearest neighborhoods for kernel smoothing
parseFormula(): Parse Formula
parseSpecialNames(): Parse special terms
plot(<Hist>): Box-arrow diagrams for multi-state models.
plot(<prodlim>): Plotting event probabilities over time
plotCompetingRiskModel(): Plotting a competing-risk-model.
plotIllnessDeathModel(): Plotting an illness-death-model.
predict(<prodlim>): Predicting event probabilities from product limit estimates
predictSurvIndividual(): Predict individual survival probabilities
print(<prodlim>): Print objects in the prodlim library
prodlim(): product limit method
quantile(<prodlim>): Quantiles for Kaplan-Meier and Aalen-Johansen estimates.
redist(): Calculation of Efron's re-distribution to the right algorithm to obtain the Kaplan-Meier estimate.
row.match(): Identifying rows in a matrix or data.frame
sindex(): Index for evaluation of step functions.
stopTime(): Stop the time of an event history object
str(<Hist>): Check the structure of an event history object
strip.terms(): Strip special functions from terms
`[`(<Hist>): Subset an event history object
subset(<Hist>): Subset an event history object
summary(<Hist>): Summary of event histories
summary(<prodlim>): Summary method for prodlim objects.
survModel(): Survival model for simulation
tail(<Hist>): Check the tail of an event history object