plot.neLht: Confidence interval plots for linear hypotheses in natural...

In medflex: Flexible Mediation Analysis Using Natural Effect Models

Confidence interval plots for linear hypotheses in natural effect models

Description

Confidence interval plots for linear hypotheses in natural effect models.

Usage

## S3 method for class 'neEffdecomp'
plot(x, level = 0.95, transf = identity, ylabels, yticks.at, ...)

## S3 method for class 'neLht'
plot(x, level = 0.95, transf = identity, ylabels, yticks.at, ...)

## S3 method for class 'neLhtBoot'
plot(
  x,
  level = 0.95,
  ci.type = "norm",
  transf = identity,
  ylabels,
  yticks.at,
  ...
)

Arguments

x	an object of class neLht.
level	the confidence level required.
transf	transformation function to be applied internally on the (linear hypothesis) estimates and their confidence intervals (e.g. exp for logit or Poisson regression). The default is identity (i.e. no transformation).
ylabels	character vector containing the labels for the (linear hypothesis) estimates to be plotted on the y-axis.
yticks.at	numeric vector containing the y-coordinates (from 0 to 1) to draw the tick marks for the different estimates and their corresponding confidence intervals.
...	additional arguments.
ci.type	the type of bootstrap intervals required (see type argument in neModel-methods).

Details

This function is an adapted version of plot.glht from the multcomp package and yields confidence interval plots for each of the linear hypothesis parameters.

See Also

neModel, neLht, neEffdecomp

Examples

data(UPBdata)

impData <- neImpute(UPB ~ att * negaff + gender + educ + age, 
                    family = binomial, data = UPBdata)
neMod <- neModel(UPB ~ att0 * att1 + gender + educ + age, 
                 family = binomial, expData = impData, se = "robust")

lht <- neLht(neMod, linfct = c("att0 = 0", "att0 + att0:att1 = 0", 
                               "att1 = 0", "att1 + att0:att1 = 0", 
                               "att0 + att1 + att0:att1 = 0"))

## all pairs return identical output
plot(confint(lht), transf = exp)
plot(lht, transf = exp)

plot(neEffdecomp(neMod), transf = exp)
plot(neMod, transf = exp)

medflex documentation built on July 10, 2023, 2 a.m.