Key | Value |
---|---|
FileName | ./usr/lib/R/site-library/mi/INDEX |
FileSize | 2190 |
MD5 | CF138A37A5705D9DF28DAC913FC3EAF0 |
SHA-1 | 2D1113DF81A47FCEF157C462203ECFC7A82E6ADF |
SHA-256 | B0700CDEA6BE54CC766F0BF11F60D926FC2CBA3FD675E0B066427437B93A9C54 |
SSDEEP | 24:qa7yv2tjtKoWXUIB1QiPDUKYuNg1E81UFOSja2NZ3yX1ivjQzKh0ogBCUbLKuCZ5:4CKEaKuUSNg+8yiX1ql0o0/jCDAOmTs |
TLSH | T18541BE77264E57AF2AC7209E23BED84139514A02F3C21F5C3ABC5584674EE08F22A73D |
hashlookup:parent-total | 8 |
hashlookup:trust | 90 |
The searched file hash is included in 8 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 1849656 |
MD5 | EB95A7DE17115D1C62050EEE811F3AE2 |
PackageDescription | GNU R package for Missing Data Imputation and Model Checking -- mi The mi R 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. |
PackageMaintainer | Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net> |
PackageName | r-cran-mi |
PackageSection | gnu-r |
PackageVersion | 1.0-7 |
SHA-1 | C68CD6CB73F1AB2FB8BE440503B2FC0538EDB04A |
SHA-256 | 05A0C537CF0A443E6C0ECBB1D7B52546DE77F8C8585CC7ABCFBBA4934E9AAFC4 |
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 |
Key | Value |
---|---|
MD5 | 80524E5A535BD8744237ADFFD3A9D508 |
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 | 11.6 |
PackageVersion | 1.0 |
SHA-1 | F56DEB51BEB462609026C4F9DA9280319B565E54 |
SHA-256 | E4D7A4C3AB8F2BE74730C95DC82F21DFD80017D238D1A7485B15DE6A27C51BB7 |
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 |
---|---|
FileSize | 1526060 |
MD5 | B108F45ADBF6D1B1BDBF459A95545614 |
PackageDescription | GNU R package for Missing Data Imputation and Model Checking -- mi The mi R 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. |
PackageMaintainer | Debian Science Team <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | r-cran-mi |
PackageSection | gnu-r |
PackageVersion | 1.0-4+deb9u1 |
SHA-1 | 9FB49464A56954868BFBAFEBB2579B5425C6438E |
SHA-256 | CFD4805899316C150FCBE4DB20823A20B25ED67F958E7BAE6F9A1D7A7D823FBC |
Key | Value |
---|---|
MD5 | BCE3FE98ECFF80D24F40E4723E0CE3FA |
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 | lp154.11.1 |
PackageVersion | 1.0 |
SHA-1 | B9E67BA26F071D4D1E61CD4DCA16AEC99C46C270 |
SHA-256 | 6670FA2A6A16A5432C37AE3F21CED17284EFDFB35A53797C010588677EC05A6F |
Key | Value |
---|---|
FileSize | 1849436 |
MD5 | C95C81B6853B77B243D5F01BFB9B2B42 |
PackageDescription | GNU R package for Missing Data Imputation and Model Checking -- mi The mi R 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. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | r-cran-mi |
PackageSection | gnu-r |
PackageVersion | 1.0-7 |
SHA-1 | C251795DF2A6AFF5D5DEF011708C1307E3BF6C28 |
SHA-256 | 44B1607865D0CDFD7A2E5EEE9816202168BA528FDC699C67512C893AB17529C9 |
Key | Value |
---|---|
FileSize | 1544432 |
MD5 | AB00665774C92CFFD79ED2C4D720E672 |
PackageDescription | GNU R package for Missing Data Imputation and Model Checking -- mi The mi R 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. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | r-cran-mi |
PackageSection | gnu-r |
PackageVersion | 1.0-5 |
SHA-1 | 364D46775139189CFA064523C63ABC7C56C10D00 |
SHA-256 | 9C84900C35E18F633A047A045B5735BBCBFAE3482F3379DF2F00D47830B172A8 |