plot.ocf.marginal {ocf} | R Documentation |
Plot Method for ocf.marginal Objects
Description
Plots an ocf.marginal
object.
Usage
## S3 method for class 'ocf.marginal'
plot(x, ...)
Arguments
x |
An |
... |
Further arguments passed to or from other methods. |
Details
If standard errors have been estimated, 95% confidence intervals are shown.
Value
Plots an ocf.marginal
object.
Author(s)
Riccardo Di Francesco
References
Di Francesco, R. (2025). Ordered Correlation Forest. Econometric Reviews, 1–17. doi:10.1080/07474938.2024.2429596.
See Also
Examples
## Generate synthetic data.
set.seed(1986)
data <- generate_ordered_data(100)
sample <- data$sample
Y <- sample$Y
X <- sample[, -1]
## Fit ocf.
forests <- ocf(Y, X)
## Marginal effects at the mean.
me <- marginal_effects(forests, eval = "atmean")
plot(me)
## Add standard errors.
honest_forests <- ocf(Y, X, honesty = TRUE)
honest_me <- marginal_effects(honest_forests, eval = "atmean", inference = TRUE)
plot(honest_me)
[Package ocf version 1.0.3 Index]