| Key | Value |
|---|---|
| FileName | ./usr/lib64/R/library/sdcMicro/R/sdcMicro.rdx |
| FileSize | 4373 |
| MD5 | 8787E1FEFAA946B43FB6DF543CF9CCFF |
| SHA-1 | 0B0988F3758257D00FD94FFCD81417BD8456A716 |
| SHA-256 | B66E6631C914426B3E273667838A7A4C2104B1030FF3DB57B31AD58697C56149 |
| SSDEEP | 96:gq4UxdcWmMlVF0T7baC5ZmtPcVsWCLUaSKwATJz0spWAW3E:EUsWmYVyXT5ZEPcuWKUaSKhL5W3E |
| TLSH | T1B0917E8BD23584A1A13BEB2C1D80947BD9E05F734C383F117A8899BD6EBD5ACC40D818 |
| hashlookup:parent-total | 1 |
| hashlookup:trust | 55 |
The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:
| 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 |