NEWS.md
In SmallCountRounding: Small Count Rounding of Tabular Data

Improved behavior of the identifyNew parameter when the maxRound parameter is used.
New description of the identifyNew parameter: When TRUE, new cells may be identified after initial rounding to ensure all rounded publishable cells equal to or less than maxRound to be roundBase multiples. Use NA for the a less conservative behavior (old behavior). Then it is ensured that no nonzero rounded publishable cells are smaller than roundBase. When maxRound is default, there is no difference between TRUE and NA.

New function, PLSroundingLoop: PLSrounding on portions of data at a time.
The \code{\link{PLSrounding}} runs are coordinated by using preliminary differences as input for the next run (parameter preDifference)
Parameters zeroCandidates, forceInner, preRounded and plsWeights can now be specified as functions.
These cannot be supplied as vectors in PLSroundingLoop.
New parameter, allSmall.
When TRUE, all small inner cells (<= maxRound) are rounded. A simplified alternative to specifying forceInner.
Adaption needed after Matrix ver. 1.4-2 (not a user-visible change)

New function, PLSroundingFits, for post-processing to expected frequencies
Expected inner cell frequencies are generated by iterative proportional fitting
plsWeights is new parameter to RoundViaDummy (and PLSrounding)
A vector of weights for each cell to be published or a function generating it. For use in the algorithm criterion.

Now, microdata input is allowed. This is due to
Allowing empty freqVar in input.
The new parameter preAggregate: When TRUE, the data will be aggregated beforehand within the function by the dimensional variables.
It is possible to avoid handling hierarchical variables when using the formula interface.
This is a consequence of parameter avoidHierarchical to Formula2ModelMatrix in the SSBtools package.

Now, a random generator seed is used locally within the function without affecting the random value stream in R.
Handled by rndSeed, a new parameter to RoundViaDummy (and PLSrounding).
By default, rndSeed = 123. This means that repeated runs with equal input will result in equal output.
To get back the old behaviour of the function, set rndSeed to NULL.
Possible to return a single data frame: "inner" or "publish".
Handled by output, a new parameter to PLSrounding.
New wrapper functions, PLSroundingInner and PLSroundingPublish.
dimVar is new parameter to RoundViaDummy and PLSrounding
The main dimensional variables and additional aggregating variables. This parameter can be useful when hierarchies and formula are unspecified.

Formula combined with hierarchies is now possible
This is a consequence of the function HierarchiesAndFormula2ModelMatrix in the SSBtools package
leverageCheck and easyCheck are new parameters to RoundViaDummy
This provides protection against possible disclosure of small numbers by linear relationships (difference attack)
The function Reduce0exact in the SSBtools package is utilised
printInc is new parameter to PLSrounding and RoundViaDummy
Whether to print iteration information to the console
Possible to specify removeEmpty=TRUE to omit empty combinations
Parameter to Hierarchies2ModelMatrix and HierarchiesAndFormula2ModelMatrix in the SSBtools package
The parameter inputInOutput is also mentioned in the RoundViaDummy documentation
Parameter to same functions as above
Can be used to specify whether to include codes from input
A vignette, "Introduction to 'SmallCountRounding'", is included