rescaled.bootstrap()
has additional parameter period
which is identical to the one in draw.bootstrap
. If period
is not NULL
the boostraps will be drawn such that in each period and strata/cluster only $\floor{\frac{n}{2}}$ records are drawn. This produces more consisten results and should make calibration afterwards easier.computeLinearG1
for use with ipf()
. computeLinearG1
is now more stable when only numerical variables are used for weighting.numericalWeighting
can be passed to recalib
and will correctly be passed along to function ipf
ipf()
to trim weightsipf()
recalib()
accepts conP and conH in the same way as ipf
recalib()
has arguments epsP
and epsH
, to make convergence limits more transparantipf()
when supplying hid="hid"
, see https://github.com/statistikat/surveysd/pull/20. Thanks @asiripanichdemo.eusilc()
for all examples and unit tests in this packagerecalib()
without specifying conP.vars
or conH.vars
simPop::ipu2()
and some related functions to surveysd....
argument in calc.stError
draw.bootstrap
to downstream functionsdraw.bootstrap
and include prettyNames
argument.
update documenentation examples to use new variable nameslaeken
and data.table
in examplesvignettes/TheoryWord.Rmd
into a dynamic markdown file
describing the methodology of the packageAdd the following code to your website.
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