eeFunCombined: Estimating Function for IPTW

In BarkleyBG/stabilizedinterference: Stabilized IPW Estimators for Causal Effects with Partial Interference

Description

This function is to be passed into geex::m_estimate

Usage

eeFunCombined(data, trt_model_obj, num_fixefs, var_names, alphas, num_alphas,
  x_levels, integrate_alphas, randomization_probability, weight_type,
  average_treatment, oracle_fixefs = NULL, oracle_sigma = NULL)

Arguments

data	the dataframe. Will be coerced from "tbl_df" to data.frame.
trt_model_obj	Fitted model object from fitModel When model_method = "oracle" see prepareOracle. @return A list including fixefs sigma ps_model_matrix x_levels
num_fixefs	Number of fixed effect parameters from treatment model. Perhaps unncessaary coding.
var_names	A list of names for outcome, treatment, clustering, and perhaps participation.
alphas	the range of allocations or policies from 0 to 1. When model_method == "oracle" then model_options must be a list with named numeric vectors fixefs and var_comp. See prepareOracle. For mixed effect model, note that that random intercept's term in the modeling formula (e.g., ( 1 | cluster_ID ) ) must be omitted from formula. Arguments that can be passed through ... include: integrate_alphas. Not yet supported. verbose. Set to TRUE for more verbose messaging. Default FALSE. contrast_type. Not yet supported. keep_components. Set to TRUE for more verbose output. Default FALSE. target_grids. User can supply target estimands with makeTargetGrids. deriv_control. User can supply the deriv_control argument to m_estimate with setup_deriv_control.
num_alphas	The number of allocation parameters
x_levels	Default NULL unless there are factos in design matrix. From grab_design_levels.
integrate_alphas	Optional argument passed from estimateEffects
randomization_probability	Optional argument passed from estimateEffects. Usually 1. For example, 2/3 in Perez-Heydrich et al. (2014) Biometrics.
weight_type	Estimators as presented in Liu, Hudgens, and Becker-Dreps (2016) Biometrika. Select "HT" for unstabilized weights. Select "Hajek1" or "Hajek2" for stabilized weights. Select "HT_TV" for the estimators presented in Tchetgen Tchetgen and VanderWeele (2012) SMMR and Perez-Heydrich et al. (2014) Biometrics, which in general target estimands different from those in Liu, Hudgens, and Becker-Dreps (2016) Biometrika.
average_treatment	e.g. 0.37
oracle_fixefs	When model_method=="Oracle" then the oracle values of fixed effects are passed through this argument. Default NULL.
oracle_sigma	When model_method=="Oracle" then the oracle values of the random effect component is passed through this argument. Default NULL.

BarkleyBG/stabilizedinterference documentation built on May 23, 2019, 8:37 a.m.