kmplot

pval

additive.compSs

CsmoothB

mypbc

Csmooth2B

Event

as.character.Event

as.matrix.Event

[.Event

format.Event

print.Event

rbind.Event

summary.Event

kernel

percen

localTimeReg

nameestimate

namematrix

aalenBase

aalenBaseC

aalen.des

aalen.des2

cox.aalenBase

read-design

is.diag

semiaalen

semiregBase

check.missing

sindex.prodlim

read.design

read.surv

risk.index

faster.reshape

rm.missing

plot.two.stage

summary.two.stage

predict.two.stage

predictpropodds

plot.cums

plot.comprisk

plot.predict.comprisk

plot.predict.timereg

pava

plotScore

summary.comprisk

pred.cum

slaaop

pred.des

Cpred

plot.cox.aalen2

plot.predict

coef.aalen

cox.ipw

coef.cox.aalen

coef.comprisk

coef.two.stage

cluster.index

coefBase

des.aalen

timetest

print.pe.sasieni

print.predict.timereg

print.two.stage

residualsTimereg

summary.pe.sasieni

summary.predict.timereg

coef.dynreg

coef.timecox

dynregBase

prop.excessBase

prop.odds.gam

semicox

timecoxBase

twin.clustertrunc

wald.test

survival

Programs for Martinussen and Scheike (2006), `Dynamic Regression
    Models for Survival Data', Springer Verlag.  Plus more recent developments.
    Additive survival model, semiparametric proportional odds model, fast cumulative
    residuals, excess risk models and more. Flexible competing risks regression
    including GOF-tests. Two-stage frailty modelling. 
    PLS for the additive risk model. Lasso in ahaz package.

pval: For internal use

Description

Arguments