drtmle (version 1.1.2)

plot.drtmle: Plot reduced dimension regression fits

Description

Plot reduced dimension regression fits

Usage

# S3 method for drtmle
plot(x, nPoints = 500, ask = TRUE, a_0 = x$a_0[1], ...)

Arguments

x

An object of class "drtmle"

nPoints

Number of points to plot lines (increase for less bumpy plot, decrease for faster evaluation).

ask

Boolean indicating whether R should ask to show each plot

a_0

For what value of a_0 should the plot be made for?

...

More arguments passed to plot

Examples

# load super learner
library(SuperLearner)
# simulate data
set.seed(123456)
n <- 100
W <- data.frame(W1 = runif(n), W2 = rnorm(n))
A <- rbinom(n, 1, plogis(W$W1 - W$W2))
Y <- rbinom(n, 1, plogis(W$W1 * W$W2 * A))
# fit drtmle with maxIter = 1 to run fast
# \donttest{
fit1 <- drtmle(
  W = W, A = A, Y = Y, a_0 = c(1, 0),
  family = binomial(),
  stratify = FALSE,
  SL_Q = c("SL.glm", "SL.mean", "SL.glm.interaction"),
  SL_g = c("SL.glm", "SL.mean", "SL.glm.interaction"),
  SL_Qr = "SL.npreg", SL_gr = "SL.npreg",
  maxIter = 1, returnModels = TRUE
)
# plot the reduced-dimension regression fits (not run)

plot(fit1)
# }
#