semTools (version 0.4-12)

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.

Objects from the Class

Objects can be created via the bsBootMiss function.

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-square values from Bootstrap data sets fitted by the target model

origChi:

The chi-square value from the original data set

df:

The degree of freedom of the model

bootP:

The p-value comparing the original chi-square with the bootstrap distribution

methods

show

signature(object = "BootMiss"): The show function is used to display the results of the Bollen-Stine bootstrap.

summary

signature(object = "BootMiss"): The summary function prints the same information from the show method, but also provides information about the time elapsed, as well as the expected (theoretical) and observed (bootstrap) mean and variance of the chi-squared distribution.

hist

signature(x = "BootMiss", ..., alpha = .05, nd = 2, printLegend = TRUE, legendArgs = list(x = "topleft")): The hist function provides a histogram for the bootstrap distribution of chi-squared, including observed and critical values from the specified alpha level. The user can also specify additional graphical parameters to hist via ..., as well as pass a list of arguments to an optional legend via legendArgs. If the user wants more control over customization, hist returns a list of length == 2, containing the arguments for the call to hist and the arguments to the call for legend, respectively.

See Also

bsBootMiss

Examples

# See the example from the bsBootMiss function