estimateHazards: Conditional Hazard estimation in survtmle package From...

Description Usage Arguments Value Examples

View source: R/initial_SL_fit.R

Description

Conditional Hazard estimation in survtmle package From survtmle (David Benkeser, 2016)

Usage

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estimateHazards(dataList, J, verbose, strata = NULL, adjustVars,
  SLlibrary.event, glmFormula.event, superLearnerSummary, bounds)

Arguments

dataList

output of makeDataList

J

same as above

verbose

print messages as SL runs?

strata

would leave as NULL, dont remember exactly how it is coded

adjustVars

data.frame of predictors for SL, dont know why I have it coded this way... just put in e.g. dat[,c("W1","W2")]. by default it will add the Z column and t column in dataList[[1]] when it fits the SL

SLlibrary.event

Super Learner library

glmFormula.event

a glm formula if you don't want to use SL

superLearnerSummary

doesn't do anything, just leave blank

bounds

NULL

Value

added column for the initial data.frame QjHaz <- result, for each subject, h_t from time 0 to T-1; organized in T_i rows QjPseudoHaz <- returns list of length = length(dataList) with added columns name QjPseudoHaz and QjHaz for all j in J. Ignore the PseudoHaz variables – they're used when there are multiple event types; if there's only one type of event they'll == Haz values anyway

Examples

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# TO DO

wilsoncai1992/onestep.survival documentation built on Dec. 17, 2017, 12:07 p.m.