Targeted estimates of marginal cumulative incidence in survival
settings with and without competing risks, including estimators that respect
bounds (Benkeser, Carone, and Gilbert. Statistics in Medicine, 2017.
speedglm to fit the numerous regressions fit in
the estimation procedure. Users may see warnings when speedglm fails, in
which case the code defaults back to standard glm.plot.tp.survtmle method induced, by changes in the
inner working of tidyr as of tidyr v0.8.0.confint.tp.survtmle that computes and provides output tables
for statistical inference directly from objects of class tp.survtmle. This
provides information equivalent to that output by confint.survtmle.