pval

cv.folds

additive.compSs

CsmoothB

mypbc

Csmooth2B

kernel

percen

localTimeReg

nameestimate

namematrix

aalen.des

aalenBase

aalenBaseC

cox.aalenBase

prop.excessBase

read-design

dynregBase

timecoxBase

semiaalen

semicox

semiregBase

check.missing

read.design

read.surv

rm.missing

plot.two.stage

summary.two.stage

predict.two.stage

plot.cums

pava

plotScore

summary.comprisk

pred.cum

slaaop

pred.des

Cpred

plot.cox.aalen2

plot.prop.excess2

plot.timecox2

plot.predict

coef.aalen

coef.cox.aalen

coef.comprisk

coef.dynreg

coef.timecox

coef.two.stage

coefBase

des.aalen

timetest

plot.comprisk

plot.predictAalen

plot.predictComprisk

plot.predictCoxAalen

print.pe.sasieni

print.predictAalen

print.predictComprisk

print.predictCoxAalen

print.two.stage

summary.pe.sasieni

summary.predictAalen

summary.predictComprisk

summary.predictCoxAalen

summary.pls

print.pls

predict.pls

my.lars

myplot.lars

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, cumulative residuals,
        excess risk models and more. Flexible competing risks
        regression including GOF-tests. Two-stage frailty modelling.
        PLS and Lasso for the additive risk model.

pval: For internal use

Description

Arguments