| BootMiss-class | R Documentation |
This class contains the results of Bollen-Stine bootstrap with missing data.
## S4 method for signature 'BootMiss'
show(object)
## S4 method for signature 'BootMiss'
summary(object)
## S4 method for signature 'BootMiss'
hist(x, ..., alpha = 0.05, nd = 2,
printLegend = TRUE, legendArgs = list(x = "topleft"))
object, x |
object of class |
... |
Additional arguments to pass to |
alpha |
alpha level used to draw confidence limits |
nd |
number of digits to display |
printLegend |
|
legendArgs |
|
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.
timeA 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.
transDataTransformed data
bootDistThe vector of chi^2 values from bootstrap data sets
fitted by the target model
origChiThe chi^2 value from the original data set
dfThe degree of freedom of the model
bootPThe p value comparing the original chi^2 with the
bootstrap distribution
Objects can be created via the
bsBootMiss() function.
Terrence D. Jorgensen (University of Amsterdam; TJorgensen314@gmail.com)
bsBootMiss()
# See the example from the bsBootMiss function
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