semTools (version 0.5-0)

BootMiss-class: Class For the Results of Bollen-Stine Bootstrap with Incomplete Data

Description

This class contains the results of Bollen-Stine bootstrap with missing data.

Usage

# S4 method for BootMiss
show(object)
# S4 method for BootMiss
summary(object)
# S4 method for BootMiss
hist(x, ..., alpha = 0.05, nd = 2,
  printLegend = TRUE, legendArgs = list(x = "topleft"))

Arguments

object, x

object of class BootMiss

...

Additional arguments to pass to hist

alpha

alpha level used to draw confidence limits

nd

number of digits to display

printLegend

logical. If TRUE (default), a legend will be printed with the histogram

legendArgs

list of arguments passed to the legend function. The default argument is a list placing the legend at the top-left of the figure.

Value

The hist method returns a list of length == 2, containing the arguments for the call to hist and the arguments to the call for legend, respectively.

Slots

time

A list containing 2 difftime objects (transform and fit), indicating the time elapsed for data transformation and for fitting the model to bootstrap data sets, respectively.

transData

Transformed data

bootDist

The vector of \(chi^2\) values from bootstrap data sets fitted by the target model

origChi

The \(chi^2\) value from the original data set

df

The degree of freedom of the model

bootP

The p value comparing the original \(chi^2\) with the bootstrap distribution

Objects from the Class

Objects can be created via the bsBootMiss function.

See Also

bsBootMiss

Examples

# NOT RUN {
# See the example from the bsBootMiss function

# }