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NAomit
to
SSBtools::Formula2ModelMatrix()
:
TRUE
, NAs in the grouping variables are omitted in
output and not included as a separate category.GaussSuppressionFromData()
and its wrappers.aggregateNA
is new parameter to
GaussSuppressionFromData()
:
TRUE
(default) to utilize the above
NAomit
parameter.aggregatePackage
to
"data.table"
to utilize this possibility.
aggregatePackage
is parameter to
GaussSuppressionFromData()
and its wrappers.aggregateBaseOrder
and rowGroupsPackage
.remove0
parameter in
SuppressFewContributors/NContributorsRule
introduced in
version 0.8.0. When a single numVar
was used as input, the
remove0
functionality failed.SuppressDominantCells()
is now considered a common
function for both the nk-dominance rule and the p-percent rule.
pPercent
parameter is now exposed in the
SuppressDominantCells()
documentation.n
parameter in SuppressDominantCells()
now defaults to 1:length(k)
.
GaussSuppression()
,
"anySum"
in
GaussSuppression()
to align with best theory.
singletonMethod
to either "anySumOld"
or
"anySumNOTprimaryOld"
.lpPackage
parameter, further suppression
will be performed to satisfy the interval width requirements.
rangePercent
: Required interval width expressed as a
percentagerangeMin
: Minimum required width of the intervalsingletonMethod = "numttHTT"
,
has been introduced in the wrappers SuppressDominantCells()
and SuppressFewContribitors()
. This setting represents the
method that offers the highest level of protection. However, it should
be noted that with this setting, the computational load of the
suppression algorithm may double, which could potentially lead to a
doubling of the execution time as well. During these computations, “:::”
will be displayed instead of “….”.
singletonMethod = "numttHtT"
.singletonMethod = "numttH"
.singletonMethod = "numttT"
.singletonMethod = "none"
.?SSBtools::NumSingleton
.SuppressDominantCells()
and SuppressFewContributors()
wrappers.
dominanceVar
and
candidatesVar
.removeCodes
parameter is now also available in the
DominanceRule()
and SuppressDominantCells()
functions.contributorVar
(charVar
) in the SuppressFewContributors()
and
NContributorsRule()
functions.SuppressDominantCells()
includes special
functionality to prevent zero cells, which have been suppressed, from
being revealable in cases where negative values cannot occur. See the
parameter singletonZeros
.pPercent
parameter directly through
SuppressDominantCells()
.PPercentRule()
.
PPercentRule()
and
DominanceRule()
now serve as wrappers for the newly
introduced. general function MagnitudeRule()
.AdditionalSuppression()
generalized to take a wrappers
as input.PrimaryRemoveWg()
, CandidatesNumWg()
and
ForcedWg()
ComputeIntervals()
.lpPackage
parameter is specified in
GaussSuppressionFromData()
or in any of its wrappers,
intervals for primary suppressed cells will be computed and included in
the output.SuppressDominantCells()
and
SuppressFewContributors()
.
extraAggregate = TRUE
in the specs,
dominanceSpec
and fewContributorsSpec
.PackageSpecs()
.SuppressSmallCounts()
,
SuppressDominantCells()
, and
SuppressFewContributors()
, along with
SuppressKDisclosure()
(which was available in the previous
version).PackageSpecs()
.DominanceRule()
.SSBtools::GaussSuppression()
.SingletonUniqueContributor()
.forced
and usafe
are possible output
columns.
forcedInOutput
and
unsafeInOutput
to
GaussSuppressionFromData()
.freqVar
and weightVar
, are kept in the output.
"freq"
and "weight"
.freqVar
/weightVar
than
"freq"
/"weight"
needs to be updated."freq"
is still default when data is aggregated from
microdata without freqVar
specified (see new parameter
freqVarNew
).These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.