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README.md

@@ -193,6 +193,8 @@ R packages [rjdverse](https://github.com/rjdverse). Ecosystem of
 R package [tempdisagg](https://cran.r-project.org/package=tempdisagg). Methods for temporal disaggregation and interpolation of time series.
 - <img src="https:&#x2F;&#x2F;raw.githubusercontent.com&#x2F;SNStatComp&#x2F;awesome-official-statistics-software&#x2F;master&#x2F;metadata/nonprobsvy/version.svg"></img> <img src="https:&#x2F;&#x2F;raw.githubusercontent.com&#x2F;SNStatComp&#x2F;awesome-official-statistics-software&#x2F;master&#x2F;metadata/nonprobsvy/latest.svg"></img> <img src="https:&#x2F;&#x2F;raw.githubusercontent.com&#x2F;SNStatComp&#x2F;awesome-official-statistics-software&#x2F;master&#x2F;metadata/nonprobsvy/license.svg"></img>\
 R package [nonprobsvy](https:&#x2F;&#x2F;cran.r-project.org&#x2F;package&#x3D;nonprobsvy). Statistical inference with non-probability samples when auxiliary information is available from external sources such as probability samples or population totals or means. The package implements inverse probability weighting, mass imputation and doubly robust estimators possibly with high-dimensional covariates.
+- <img src="https:&#x2F;&#x2F;raw.githubusercontent.com&#x2F;SNStatComp&#x2F;awesome-official-statistics-software&#x2F;master&#x2F;metadata/SSBtools/version.svg"></img> <img src="https:&#x2F;&#x2F;raw.githubusercontent.com&#x2F;SNStatComp&#x2F;awesome-official-statistics-software&#x2F;master&#x2F;metadata/SSBtools/latest.svg"></img> <img src="https:&#x2F;&#x2F;raw.githubusercontent.com&#x2F;SNStatComp&#x2F;awesome-official-statistics-software&#x2F;master&#x2F;metadata/SSBtools/license.svg"></img>\
+R package [SSBtools](https:&#x2F;&#x2F;cran.r-project.org&#x2F;package&#x3D;SSBtools). Includes functionality to compute tabular aggregates according to a hierarchical structure. For example, using the package&#39;s functions [model_aggregate()](https:&#x2F;&#x2F;statisticsnorway.github.io&#x2F;ssb-ssbtools&#x2F;reference&#x2F;model_aggregate.html), [tables_by_formulas()](https:&#x2F;&#x2F;statisticsnorway.github.io&#x2F;ssb-ssbtools&#x2F;reference&#x2F;tables_by_formulas.html) and [quantile_weighted()](https:&#x2F;&#x2F;statisticsnorway.github.io&#x2F;ssb-ssbtools&#x2F;reference&#x2F;quantile_weighted.html). It also is a dependency package for several packages under &quot;Statistical disclosure control&quot;.
 
 
 #### Output validation ([GSBPM](https://unece.org/statistics/modernstats/gsbpm) 6.2)

data/software.csv

@@ -64,6 +64,7 @@
 "R packages","rjdverse","https://github.com/rjdverse","Ecosystem of R-packages around JDemetra+ such as [RJDemetra](https://github.com/rjdverse/rjdemetra) for v2 and rjd3* for v3","Time series and seasonal adjustment","5.6 | 5.7"
 "R package","tempdisagg","https://cran.r-project.org/package=tempdisagg","Methods for temporal disaggregation and interpolation of time series.","Time series and seasonal adjustment","5.6 | 5.7"
 "R package","nonprobsvy","https://cran.r-project.org/package=nonprobsvy","Statistical inference with non-probability samples when auxiliary information is available from external sources such as probability samples or population totals or means. The package implements inverse probability weighting, mass imputation and doubly robust estimators possibly with high-dimensional covariates.","Estimation and weighting","5.6 | 5.7"
+"R package","SSBtools","https://cran.r-project.org/package=SSBtools","Includes functionality to compute tabular aggregates according to a hierarchical structure. For example, using the package's functions [model_aggregate()](https://statisticsnorway.github.io/ssb-ssbtools/reference/model_aggregate.html), [tables_by_formulas()](https://statisticsnorway.github.io/ssb-ssbtools/reference/tables_by_formulas.html) and [quantile_weighted()](https://statisticsnorway.github.io/ssb-ssbtools/reference/quantile_weighted.html). It also is a dependency package for several packages under ""Statistical disclosure control"".","Estimation and weighting","5.6 | 5.7"
 "R package","validate","https://cran.r-project.org/package=validate","Rule management and data validation.","Output validation","6.2"
 "R package","nrba","https://cran.r-project.org/package=nrba","Facilitates nonresponse bias analysis (NRBA) and nonresponse adjustments for survey data.","Validate outputs","6.2"
 "Java and C++ application","Mu-ARGUS","https://github.com/sdcTools/muargus","Tool to create safe micro-data files. See also the [casc page](http://research.cbs.nl/casc/).","Statistical disclosure control","6.4"

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