Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	18A6C825FC36E3F25885D4754DA9EC71
PackageArch	x86_64
PackageDescription	Data from statistical agencies and other institutions are mostly confidential. This package (see also Templ, Kowarik and Meindl (2017) <doi:10.18637/jss.v067.i04>) can be used for the generation of anonymized (micro)data, i.e. for the creation of public- and scientific-use files. The theoretical basis for the methods implemented can be found in Templ (2017) <doi:10.1007/978-3-319-50272-4>. Various risk estimation and anonymisation methods are included. Note that the package includes a graphical user interface (Meindl and Templ, 2019 <doi:10.3390/a12090191>) that allows to use various methods of this package.
PackageName	R-sdcMicro
PackageRelease	lp153.5.1
PackageVersion	5.6.1
SHA-1	CC06C36ED1144746D290B8A01CBB31502F3F8B8F
SHA-256	537F07D39F32D36117FE0BB29839B872000F62493EDEAEFD52E4F55A5236B2D7

Key	Value
MD5	097D91A0F63F819C1901EF3338499169
PackageArch	x86_64
PackageDescription	Data from statistical agencies and other institutions are mostly confidential. This package (see also Templ, Kowarik and Meindl (2017) <doi:10.18637/jss.v067.i04>) can be used for the generation of anonymized (micro)data, i.e. for the creation of public- and scientific-use files. The theoretical basis for the methods implemented can be found in Templ (2017) <doi:10.1007/978-3-319-50272-4>. Various risk estimation and anonymisation methods are included. Note that the package includes a graphical user interface (Meindl and Templ, 2019 <doi:10.3390/a12090191>) that allows to use various methods of this package.
PackageName	R-sdcMicro
PackageRelease	5.3
PackageVersion	5.6.1
SHA-1	A080EA19355BFC81C3EA9B6EA4A8DD06DCD5610D
SHA-256	94894E276C2EA091E78046934910048E929EF077A13AA47D2803188799239CB3

Key	Value
MD5	BB4A342C9995BB9B7DE7C13E4EEE0570
PackageArch	x86_64
PackageDescription	Data from statistical agencies and other institutions are mostly confidential. This package (see also Templ, Kowarik and Meindl (2017) <doi:10.18637/jss.v067.i04>) can be used for the generation of anonymized (micro)data, i.e. for the creation of public- and scientific-use files. The theoretical basis for the methods implemented can be found in Templ (2017) <doi:10.1007/978-3-319-50272-4>. Various risk estimation and anonymisation methods are included. Note that the package includes a graphical user interface (Meindl and Templ, 2019 <doi:10.3390/a12090191>) that allows to use various methods of this package.
PackageName	R-sdcMicro
PackageRelease	lp154.5.1
PackageVersion	5.6.1
SHA-1	16BA466E3F88C4ECD0C365263B6330CE61DAA916
SHA-256	B419D73105077B9A02D94FC10479C3E13151EAE5D5E641FA5DAA5064D0F090C3

Key	Value
MD5	61A7E727ECD2232FD29200F6EF0BBC2E
PackageArch	x86_64
PackageDescription	Data from statistical agencies and other institutions are mostly confidential. This package (see also Templ, Kowarik and Meindl (2017) <doi:10.18637/jss.v067.i04>) can be used for the generation of anonymized (micro)data, i.e. for the creation of public- and scientific-use files. The theoretical basis for the methods implemented can be found in Templ (2017) <doi:10.1007/978-3-319-50272-4>. Various risk estimation and anonymisation methods are included. Note that the package includes a graphical user interface (Meindl and Templ, 2019 <doi:10.3390/a12090191>) that allows to use various methods of this package.
PackageName	R-sdcMicro
PackageRelease	lp152.5.1
PackageVersion	5.6.1
SHA-1	547A26A4286D512AD2BB6FF72D3F5E46BBB1C61E
SHA-256	B91E61B2E0CCCC87E0D6AA8D0127A0A3FB39DA47CA321558A8EC5FA608985003