dnnetSurvInput-class: An S4 class containing predictors (x), censoring time (y),...
In SkadiEye/deepTL: Deep Treatment Learning
dnnetSurvInput-class R Documentation
An S4 class containing predictors (x), censoring time (y),
sample weights (w) and event status (e)
Description
An S4 class containing predictors (x), censoring time (y),
sample weights (w) and event status (e)
Slots
xA numeric matrix, the predictors
yA numeric vector, censoring time
wA numeric vector, sample weights
eA numeric vector, event status
See Also
dnnet-class
SkadiEye/deepTL documentation built on Nov. 17, 2022, 1:41 p.m.
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| dnnetSurvInput-class | R Documentation |
An S4 class containing predictors (x), censoring time (y), sample weights (w) and event status (e)
Description
An S4 class containing predictors (x), censoring time (y), sample weights (w) and event status (e)
Slots
xA numeric matrix, the predictors
yA numeric vector, censoring time
wA numeric vector, sample weights
eA numeric vector, event status
See Also
dnnet-class
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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