evmBoot {texmex} | R Documentation |
Bootstrap an evmOpt fit
Description
This runs a parametric bootstrap simulating from an optimized model.
Usage
evmBoot(o, R=1000, trace=100, cores=NULL, export=NULL, theCall)
## S3 method for class 'evmBoot'
summary(object,...)
## S3 method for class 'evmBoot'
plot(x,col=4,border=NULL,...)
## S3 method for class 'evmBoot'
coef(object,...)
## S3 method for class 'summary.evmBoot'
print(x,...)
## S3 method for class 'evmBoot'
print(x,...)
Arguments
o |
a fit |
R |
the number of parametric bootstrap samples to run |
trace |
the frequency of trace messages |
cores |
The number of coresto use when bootstrapping. Defaults
to |
export |
Character vector of names of variables to export. See the
help file for |
theCall |
(for internal use) |
x |
an |
col |
colour used to fill histogram |
border |
the colour of the border around the bars |
object |
a |
... |
other arguments passed to internal functions |
Value
An object of class evmBoot
; a list with
call |
The call to |
replicates |
The parameter estimates from the bootstrap fits. |
map |
The fit by by maximum penalized likelihood to the original data. |
Note
It is not expected that a user will need to call
this function directly; you are directed to evm
.