Key | Value |
---|---|
FileName | ./usr/lib64/R/library/mi/DESCRIPTION |
FileSize | 1900 |
MD5 | F6D2098E7560F4150F4123DF6E8B4D94 |
SHA-1 | 1C66FEED7C1220B46D61C708105C6AC54E057125 |
SHA-256 | 5897551E03DC4439ECFAE3DC7BF6A83F0BC634F2D38F62DDA8A9392B6B58A6E4 |
SSDEEP | 48:fEbKfSnB8ER3zRll7oGZv13A8jUvvjvRrv9reoORsez:fiKi8ERdll7r/3A8iv7lhqsez |
TLSH | T1284164115C4827463A16436A76DA07025E45C13E2BD39AB9BC3D490C470CDBFB6FB778 |
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 | 8FBF2E7AB9BD82C4A2D722A523223485 |
PackageArch | x86_64 |
PackageDescription | The mi package provides functions for data manipulation, imputing missing values in an approximate Bayesian framework, diagnostics of the models used to generate the imputations, confidence-building mechanisms to validate some of the assumptions of the imputation algorithm, and functions to analyze multiply imputed data sets with the appropriate degree of sampling uncertainty. |
PackageName | R-mi |
PackageRelease | lp152.11.2 |
PackageVersion | 1.0 |
SHA-1 | 4656E22A9E84310520B5272E22B72D8C6AB0B7F5 |
SHA-256 | ED9B82949174978FDC9E596CBB801B98D2544C1B054E1EC252F0B3886CC62EA2 |