Parents (Total: 4)

The searched file hash is included in 4 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	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	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
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