| Key | Value |
|---|---|
| FileName | ./usr/lib64/R/library/mi/R/mi.rdx |
| FileSize | 3783 |
| MD5 | 160B8A7844BBC2C8CC67DBCA2F4FA19C |
| SHA-1 | 20D4D52B826CEB3D5A2AE7FC9E289C380F178CC4 |
| SHA-256 | 24424F06EB2A493D648AAC03EF2C7D241725704754CDE4C0861D544E4DBD829C |
| SSDEEP | 96:HdZ3AkApHQHvS5OQ9WA7E1Ihk6A7QAp1p16pkKeNVQ:Hn3WwHvSYAWA4Ak6Zpk/Q |
| TLSH | T115716CBE479C20B1C941EE3A683AF94A453829157508033025D32FB3E7A5291CE0B2FF |
| hashlookup:parent-total | 2 |
| hashlookup:trust | 60 |
The searched file hash is included in 2 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 |
| Key | Value |
|---|---|
| MD5 | 39A6493DBDBCEF30122A8B5E56097011 |
| 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 | lp153.11.2 |
| PackageVersion | 1.0 |
| SHA-1 | D186B7A4DA5FDE3B0A0C27BCAE8C993B4473143F |
| SHA-256 | 32D9033F6992ED2A683BB956D8E4CEDA993E4F0BE51A5A53701FBE60BA1ACAF8 |