GenYgivenXC: Generating the outcome given exposure and covariates.

In gpapadog/LERCA: Local Exposure-Response Confounding Adjustment

Description

In the simulated data, we specify the outcome model and residual variance for every experiment and the outcome is generated.

Usage

GenYgivenXC(dataset, out_coef, bY, bYX, Ysd, XY_function, XY_spec = NULL)

Arguments

dataset	A data frame containing X, C1, C2, ..., and E.
out_coef	A matrix where the ij element is the coefficient of covariate Ci in the outcome model of experiment j.
bY	Vector of length equal to the number of experiments including the intercept of the outcome model in each experiment.
bYX	If XY_function is set to linear, bYX includes the coefficient of the exposure within each experiment and is of length num_exper. If XY_function is set to other, bYX is of length 1 and corresponds to the coefficient in front of the exposure term.
Ysd	Vector of length number of experiments. Standard deviation of outcome model residual.
XY_function	String specifying whether the XY relationship is piece- wise linear (set 'linear'), or a continuous function supplied by the XY_spec arguement (set 'other').
XY_spec	Needs to be specified if XY_function is set to 'other'. It is the function that specifies the true ER relationship. Defaults to NULL.

gpapadog/LERCA documentation built on June 4, 2019, 11:40 a.m.