spCATE: Semiparametric targeted conditional average treatment effect...

In Larsvanderlaan/npOddsRatio: Semiparametric Targeted Maximum-Likelihood estimation of the conditional odds ratio in a partially-linear logistic-link regression model with post-treatment informative missingness.

Semiparametric targeted conditional average treatment effect estimation. CATE(W) := E[Y|A=1,W] - E[Y|A=0,W]

Description

Semiparametric targeted conditional average treatment effect estimation. CATE(W) := E[Y|A=1,W] - E[Y|A=0,W]

Usage

spCATE(
  formula_CATE = ~1,
  W,
  A,
  Y,
  family_CATE = gaussian(),
  sl3_Lrnr_A = NULL,
  sl3_Lrnr_Y = NULL,
  weights = NULL,
  smoothness_order_Y0W = 1,
  max_degree_Y0W = 2,
  num_knots_Y0W = c(15, 5),
  fit_control = list()
)

Arguments

formula_CATE	R-formula object specifying model for CATE
W	A matrix of baseline covariates to condition on.
A	A binary treatment assignment vector
Y	An outcome variable (continuous or binary)
family_CATE	A R-family object specifying the link function for the CATE
sl3_Lrnr_A	An optional sl3-Learner object to estimate P(A=1|W)
sl3_Lrnr_Y	An optional sl3-Learner object to estimate nuisance conditional means E[Y|A=0,W] and E[Y|A=1,W]
weights	A vector of optional weights.
smoothness_order_Y0W	Specification for default HAL learner (used if sl3 Learners not given). See spOR for use.
max_degree_Y0W	Specification for default HAL learner (used if sl3 Learners not given). See spOR for use.
num_knots_Y0W	Specification for default HAL learner (used if sl3 Learners not given). See spOR for use.
fit_control	Specification for default HAL learner (used if sl3 Learners not given). See spOR for use.

Larsvanderlaan/npOddsRatio documentation built on May 3, 2022, 12:05 p.m.