bootstrap | R Documentation |
These functions help to repeatedly fit a rfh model on bootstrap
samples. Use bootstrap
as a user interface. boot
can be used to
extend the framework but is not meant to be used interactively. If you are
interested in the parameteric bootstrap for a 'rfh' model you can use the
implementation in mse.
bootstrap(object, matV = variance(object), B = NULL, ...)
boot(object, matV, B, ...)
## S4 method for signature 'ANY,ANY,integerORnumeric'
boot(object, matV, B, filter = NULL, postProcessing = identity, ...)
## S4 method for signature 'rfh,rfhVariance,'NULL''
boot(object, matV, B, ...)
object |
a fitted object |
matV |
the variance of a fitted object used to draw samples. In most
cases this is |
B |
the number of repetitions |
... |
arguments passed down to methods |
filter |
a vector indicating which elements in the fittedd object to keep in each repetition. |
postProcessing |
a function to process the results. Is applied before the filter. |
data(milk, package = "sae")
milk$samplingVar <- milk$SD^2
modelFit <- rfh(yi ~ as.factor(MajorArea), milk, "samplingVar")
bootstrapCoefs <- bootstrap(modelFit, B = 2, filter = "coefficients")
do.call(rbind, unlist(bootstrapCoefs, FALSE))
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