map_hazard_to_density {haldensify} | R Documentation |
Map Predicted Hazard to Predicted Density for a Single Observation
Description
Map Predicted Hazard to Predicted Density for a Single Observation
Usage
map_hazard_to_density(hazard_pred_single_obs)
Arguments
hazard_pred_single_obs |
A numeric vector of 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 (from
format_long_hazards ). This is the probability that a given
value falls in a corresponding bin, given that it has not yet failed
(fallen in a preceding bin), as per Díaz I, van der Laan MJ (2011).
“Super learner based conditional density estimation with application to marginal structural models.”
International Journal of Biostatistics, 7(1), 1–20..
|
Details
For a single observation, map a predicted hazard of failure (as an
occurrence in a particular bin, under a given partitioning of the support)
to a density.
Value
A matrix
composed of a single row and a number of columns
specified by the grid of penalization parameters used in fitting of the
highly adaptive lasso. This is the predicted conditional density for a
given observation, re-mapped from the hazard scale.
[Package
haldensify version 0.2.3
Index]