Title: An Easy SVG Basic Elements Generator
Authors@R: person("Yuting", "Dai", email = "forlynna@sjtu.edu.cn", role = c("aut", "cre"))
Description: This SVG elements generator can easily generate
SVG elements such as rect, line, circle, ellipse, polygon,
polyline, text and group. Also, it can combine and
Packaged: 2018-01-09 03:06:02 UTC; daiyuting

Title: Easy Interface to the Statistical Disclosure Control Package
Depends: R (>= 3.0.0), sdcTable, SSBtools
Description: The main function, ProtectTable(), performs table suppression according to a frequency rule with a data set as the only required input. Within this function, protectTable() or protectLinkedTables() in package 'sdcTable' is called. Lists of level-hierarchy (parameter 'dimList') and other required input to these functions are created automatically.

Description: The main function, ProtectTable(), performs table suppression according to a
frequency rule with a data set as the only required input. Within this function,
protectTable() or protectLinkedTables() in package 'sdcTable' is called. Lists of
level-hierarchy (parameter 'dimList') and other required input to these functions are

Depends: R (>= 3.0.0), sdcTable, SSBtools, shiny
protectTable(), protectLinkedTables() or runArgusBatchFile() in package 'sdcTable' is called.
Lists of level-hierarchy (parameter 'dimList') and other required input to these functions
The function, PTgui(), starts a graphical user interface based on the shiny package.

Suggests: knitr, rmarkdown, RegSDC, Matrix, testthat (>= 2.1.0)

'sdcTable' Extended with the 'GaussSuppression' Method
protectTable(), protect_linked_tables() or runArgusBatchFile() in package 'sdcTable' is called.
The suppression method Gauss (default) is an additional method that is not available in 'sdcTable'.
The function, PTgui(), starts a graphical user interface based on the 'shiny' package.

Imports: sdcTable, shiny, methods, Matrix
Suggests: knitr, rmarkdown, RegSDC, testthat (>= 2.1.0)

Title: Ensemble Forecast Verification for Large Datasets
Authors@R: c(person("Jonas", "Bhend", email = "jonas.bhend@meteoswiss.ch",
Description: Set of tools to simplify application of atomic forecast verification
metrics for (comparative) verification of ensemble forecasts to large datasets.
The forecast metrics are imported from the 'SpecsVerification' package, and
additional forecast metrics are provided with this package. Alternatively,
new user-defined forecast scores can be implemented using the example scores
provided and applied using the functionality of this package.
Depends: R (>= 3.0), SpecsVerification, stats, utils
Suggests: testthat, knitr, parallel, R.rsp