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mcee()
function: streamlined workflow for estimating natural direct excursion effect (NDEE) and natural indirect excursion effect (NIEE) in micro-randomized trials (MRTs) with distal outcomes.mcee_general()
: flexible configuration of nuisance models (p, q, eta, mu, nu) with support for multiple learners (glm, gam, lm, rf, ranger, sl).mcee_userfit_nuisance()
: allows users to inject externally fitted nuisance predictions.mcee_config_glm()
, mcee_config_gam()
, mcee_config_ranger()
, etc.) and mcee_config_maker()
for building nuisance specifications to pass into mcee_general()
.data_time_varying_mediator_distal_outcome
included to illustrate usage.dcee()
for estimating distal causal excursion effects.lm
, gam
, rf
, ranger
, SuperLearner
) with optional cross-fitting.summary.dcee_fit()
, consistent with wcls()
and emee()
.data_distal_continuous
for examples and testing.Any scripts or data that you put into this service are public.
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