Result for 31CEDAE157E83B9BFEA280D85CC9C3923E630C95

Query result

Key Value
FileName./usr/lib64/R/library/mi/R/mi.rdb
FileSize909352
MD57BDAA2CC64B9ABFAAB61D36752A84A7F
SHA-131CEDAE157E83B9BFEA280D85CC9C3923E630C95
SHA-25618BB23FD23FDF031E3B9A49458A682B657FFDEE4FF5F9738B2E3ABB322DC7B41
SSDEEP24576:tyUi1P5EBs0so3b3AvZck83qn9Iz4z6zTchkkiu+Ctv:ID5ss0so3b3AvZFWz4z6zWkTFCtv
TLSHT1731523AC379355027A6EE8B6B8F7CD85F81D85BEAC914FE81D61E708C06C2652C167C2
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

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
MD539A6493DBDBCEF30122A8B5E56097011
PackageArchx86_64
PackageDescriptionThe 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.
PackageNameR-mi
PackageReleaselp153.11.2
PackageVersion1.0
SHA-1D186B7A4DA5FDE3B0A0C27BCAE8C993B4473143F
SHA-25632D9033F6992ED2A683BB956D8E4CEDA993E4F0BE51A5A53701FBE60BA1ACAF8