Description Usage Arguments Value Examples
Sums up hazard function grouped by original ID variable ordered by step.
1 2 3 | summarizeHazard(d, idColumnName, indexColumnName, hazardColumnNames,
survivalColumnNames = "survival", deathIntensityColumnNames = NULL,
parallelCluster = NULL)
|
d |
data.frame |
idColumnName |
character scalar, column containing original row ids |
indexColumnName |
character scalar, column containing quasi event indices. Indices must be complete intevvals 1:k for some k. |
hazardColumnNames |
character vector, columns containing hazard scores |
survivalColumnNames |
character vector, columns to write survival probability in |
deathIntensityColumnNames |
vector scalar, columns to write death intensities |
parallelCluster |
optional parallel cluster to run on |
list, details=survival data.frame, expectedLifetime has lifetime estimates (lifetime seen in the scoring windows plus a geometric term to count time steps past the window).
1 2 3 4 5 6 7 | d <- data.frame(lifetime=c(2,1,2),censored=c(FALSE,FALSE,TRUE))
d2 <- buildQuasiObsForComparison(d,5,d$lifetime,ifelse(d$censored,NA,d$lifetime),
'origRow','sampleAge','deathEvent')
d2$hazardPred <- 0.1
summarizeHazard(d2,'origRow','sampleAge','hazardPred',
survivalColumnName='survival',
deathIntensityColumnName='deathIntensity')
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