Result for 1C2029099BDC706CE049C4D5554FA6DD829ACBE2

Query result

Key Value
FileName./usr/lib64/R/library/mi/R/mi.rdb
FileSize909422
MD518CE9DA24935A255D39001898CB0DFE8
SHA-11C2029099BDC706CE049C4D5554FA6DD829ACBE2
SHA-25622F0818B0E7F487D95D26FF47A3FF295062870B0DD97B1D84F26223B6F668D82
SSDEEP24576:tyUi1P5ETs0sa73qN73qGvZgkJ30oOn9Iz4z6zT2Y2iiOchkkiu+Ctv:ID5Ks0sa73M73hvZBGqz4z6zTnrijkTA
TLSHT17715239D39525606AB6BE463BDF7CD82F925C2589CC04FC40E76EB08C46D6A61C2E7C3
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
MD580524E5A535BD8744237ADFFD3A9D508
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
PackageRelease11.6
PackageVersion1.0
SHA-1F56DEB51BEB462609026C4F9DA9280319B565E54
SHA-256E4D7A4C3AB8F2BE74730C95DC82F21DFD80017D238D1A7485B15DE6A27C51BB7