plot.clarify_adrf {clarify}  R Documentation 
Plot marginal predictions from sim_adrf()
Description
plot.clarify_adrf()
plots the output of sim_adrf()
. For the average doseresponse function (ADRF, requested with contrast = "adrf"
in sim_adrf()
), this is a plot of the average marginal mean of the outcome against the requested values of the focal predictor; for the average marginal effects function (AMEF, requested with contrast = "amef"
in sim_adrf()
), this is a plot of the instantaneous average marginal effect of the focal predictor on the outcome against the requested values of the focal predictor.
Usage
## S3 method for class 'clarify_adrf'
plot(
x,
ci = TRUE,
level = 0.95,
method = "quantile",
baseline,
color = "black",
...
)
Arguments
x 
a 
ci 

level 
the confidence level desired. Default is .95 for 95% confidence intervals. 
method 
the method used to compute confidence bands. Can be 
baseline 

color 
the color of the line and confidence band in the plot. 
... 
for 
Details
These plots are produced using ggplot2::geom_line()
and ggplot2::geom_ribbon()
. The confidence bands should be interpreted pointwise (i.e., they do not account for simultaneous inference).
Value
A ggplot
object.
See Also
summary.clarify_est()
for computing pvalues and confidence intervals for the estimated quantities.
Examples
## See help("sim_adrf") for examples