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GaussSuppression()
function and related
functionality have now been documented in a “Privacy in Statistical
Databases 2024” paper.
data.table
package is listed under
Suggests and can be utilized in two functions. See below.aggregate_by_pkg()
data.table
.include_na
: A logical value
indicating whether NA
values in the grouping variables
should be included in the aggregation. Default is
FALSE
.NAomit
is new parameter to RowGroups()
and
Formula2ModelMatrix()
/FormulaSums()
.
ModelMatrix()
.pkg
is new parameter to RowGroups()
"base"
(default) or
"data.table"
(for improved speed).Formula2ModelMatrix()
/FormulaSums()
.
ModelMatrix()
.Matrix::sparseMatrix()
instead of building the transposed
matrix with rbind()
based on numerous
Matrix::fac2sparse()
calls.rowGroupsPackage
, to
data.table
.ModelMatrix()
is fixed.
viaOrdinary = TRUE
, model.matrix()
or
sparse.model.matrix()
was called twice.combine_formulas()
is improved
ModelMatrix()
function and related functionality
for hierarchical computations have now been documented in a paper in The
R Journal.
remove_empty
is an explicit parameter to
model_aggregate()
.
mm_args
parameter. Old code works as before.?formula_utils
Extend0()
to allow even more advanced
possibilities by varGroups
-attribute.GaussSuppression()
,
"anySum"
in
GaussSuppression()
to align with best theory.
singletonMethod
to either "anySumOld"
or
"anySumNOTprimaryOld"
.quantile_weighted()
.
quantile_weighted(x=c(0,2,0), weights = c(1,1,0))
correctly outputs the 50% value as 1.CheckInput()
or check_input()
.
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.
Health stats visible at Monitor.