Result for 343C575BE2BAD7DCB291EE795135EA69C56B39C3

Query result

Key Value
FileName./usr/lib64/R/library/mi/R/mi.rdb
FileSize909427
MD5BCFB38E9B278440B7993C7421FFF7A8E
SHA-1343C575BE2BAD7DCB291EE795135EA69C56B39C3
SHA-256F5D0A6D56C882846C44D16228B9E6738F33342403A9C6E212D821C7FD7D038D6
SSDEEP24576:tyUi1P5E0s0sa73qN73qGvZgkJ30oOn9Iz4z6zT2Y2iiOchkkiu+Ctv:ID5bs0sa73M73hvZBGqz4z6zTnrijkTA
TLSHT1C115239D39525606AB6BE863BDF7CD82F925C25D98C04FC40E75EB08C46D6A21C2E7C3
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
MD5BCE3FE98ECFF80D24F40E4723E0CE3FA
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
PackageReleaselp154.11.1
PackageVersion1.0
SHA-1B9E67BA26F071D4D1E61CD4DCA16AEC99C46C270
SHA-2566670FA2A6A16A5432C37AE3F21CED17284EFDFB35A53797C010588677EC05A6F