Helper function to predict from a super learner fit on the hazard scale to obtain a prediction on the density scale

Helper function to predict from a super learner fit on the hazard scale to obtain a prediction on the density scale

predict_density(
  sl_fit_conditional,
  sl_fit_marginal,
  how_predict,
  all_mediator_values,
  a_val,
  validC,
  M1,
  M2,
  valid_n,
  stratify
)

Arguments

sl_fit_conditional	A fitted SuperLearner object for the M1 | M2, C, A regression
sl_fit_marginal	A fitted SuperLearner object for the M2 | C, A regression
how_predict	Needed to figure out how to predict from model. Possible choices are "SuperLearner", "single_algo", and "glm"
all_mediator_values	data.frame of all observed mediator values
a_val	Relevant treatment level
validC	Confounders in the validation set
M1	All M1 values
M2	All M2 values
valid_n	Number of obs in validation set
stratify	Were sl_fit's stratified?