R/fit_mechanisms.R
fit_phi_mech.RdFit intervention-specific exponential tilt nuisance parameter
fit_phi_mech(train_data, valid_data, learners, m_output, w_names)A data.table containing the observed data, with
columns in the order specified by the NPSEM (Y, Z, A, W), with column names
set appropriately based on the input data. Such a structure is merely a
convenience utility to passing data around to the various core estimation
routines and is automatically generated by medshift.
A holdout data set, with columns exactly matching those
appearing in the preceding argument train_data, to be used for
estimation via cross-fitting. Not optional for this nuisance parameter.
A Stack (or other learner class that
inherits from Lrnr_base), containing a single or set of
instantiated learners from sl3, to be used in a regression of a
pseudo-outcome on the baseline covariates, i.e.,
phi(W) = E[m(A = 1, Z, W) - m(A = 0, Z, W) | W).
Object containing results from fitting the outcome
regression, as produced by fit_m_mech.
A character vector of the names of the columns that
correspond to baseline covariates (W). The input for this argument is
automatically generated by medshift.