Parents (Total: 10)

The searched file hash is included in 10 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	1848504
MD5	751EA6CF26CD98B01DF969733F8F874A
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	1.0-8
SHA-1	00B94FB9A4AFF87EE165205118D028F8FEB8D049
SHA-256	9A131BE5B1D131C515B9C3C21F972D2A5DD2568810330E35F9D1E204449C7EAB

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	1847436
MD5	9067A754E962B7ADBEAFD72665C2D048
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	1.0-8build1
SHA-1	5F07E911780C9EE1D00291574BF35A3A8C71E0D8
SHA-256	BC17D23D0E730340B65FECED943033B7C3469DC10FE772CB9B8F2D6B11A7ED1B

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