plot.naive_CI: Plots naive confidence intervals (CI) for mixed effects

In KatarzynaReluga/postcAIC: Post-cAIC selection inference under Linear Mixed Models

Description

Plots naive confidence intervals (CI) for mixed effects

Usage

## S3 method for class 'naive_CI'
plot(
  x,
  col = NULL,
  xlab = NULL,
  ylab = NULL,
  type = c("regular", "corrected", "both"),
  order_estimates = NULL,
  legend_position = NULL,
  y_axis_lim = NULL,
  ...
)

Arguments

x	An object of class naive_CI
col	Colors of CI. Default: NULL
xlab	Label for the x axis. Default: NULL
ylab	Label for the y axis. Default: NULL
type	Type of CI (using first order, second order or both MSE estimators)
order_estimates	Order of intervals in the plot. Default: NULL
legend_position	Legend position. Default: NULL
y_axis_lim	Limits of the y axis. Default: NULL
...	Additional parameters

Details

The output changes slightly depending on the value of the parameter type. If type = "regular", naive second-order correct CIs are not present. If type = "corrected", naive first-order correct CIS are not present. If type = "both", naive first- and second-order correct CIs are present.

Value

plot_naive

Plot with confidence intervals for mixed effects

KatarzynaReluga/postcAIC documentation built on Jan. 25, 2022, 12:33 a.m.