For a single observation, map a predicted hazard of failure (occurrence in a
particular bin, under a given partitioning of the support) to a density.
map_hazard_to_density(hazard_pred_single_obs)
Arguments
| hazard_pred_single_obs |
A numeric vector of the predicted hazard
of failure in a given bin (under a given partitioning of the support) for a
single observational unit based on a long format data structure (as produced
by format_long_hazards). This is simply the probability that
the observed value falls in a corresponding bin, given that it has not yet
failed (fallen in a previous bin), as given in
Díaz I, van
der
Laan MJ (2011).
“Super learner based conditional density estimation with application to
marginal structural models.”
The International Journal of Biostatistics, 7(1), 1--20.
. |