PlotLERCA: Plotting LERCA results.

In gpapadog/LERCA: Local Exposure-Response Confounding Adjustment

Description

Estimated ER, cutoffs, coefficients, inclusion probabilities.

Usage

PlotLERCA(dta, lerca, ER, variable = NULL, wh_model = NULL, probs,
  inclusion = NULL, coefs = NULL)

Arguments

dta	The data that we are using with column X for exposure.
lerca	The LERCA fit.
ER	The estimated ER as acquired using GetER().
variable	Which variable's results to be plotted. Intercept is 1, Exposure is 2, and the covariates are 3 onwards.
wh_model	Which model's coefficients and inclusion probabilities to be plotted. Options are 1, 2 for exposure and outcome model accordingly.
probs	The quantiles of the distribution to be plotted as intervals.
inclusion	The inclusion probabilities as a function of the exposure and as acquired using ExposureInclusion().
coefs	The coefficients as a function of the exposure as acquired using ExposureCoefs().

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