prepareOracle: A helper function for using oracle estimates for...

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

Description

A helper function for using oracle estimates for estimateEffects.

Usage

prepareOracle(data, model_options, modeling_formula)

Arguments

data	the dataframe. Will be coerced from "tbl_df" to data.frame.
model_options	passed to glmer or perhaps glm(in future).
modeling_formula	see fitModel This function checks whether the oracle parameters passed through model_options to estimateEffects are in appropriate order. User should supply only the formula that would be used to model treatment on predictors. See Details for how to use with random effect models and glmer. model_options must be a list with numeric vectors fixefs and var_comp. The vector fixefs must have names. This function will provide a check that the names of fixefs are equal to the names that are generated by the call to model.matrix. 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.

Value

A list of elements, perhaps including

• will_it_work: Boolean. If FALSE then there are issues that need to be fixed.

• fixefs the named numeric vector of fixed effects parameters.

• sigma Either a numeric singleton, or NULL.

• names_fixefs: the names of model_options$fixefs.

• names_matrix_modeling: the colnames of the model matrix.

• model_matrix: the model matrix.

• x_levels: for the xlev argument in model.frame.

• model_options: the input argument

• modeling_formula: the input argument

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