Result for 123C85008716620E77D0B37CDA310EFAFB11F3A7

Query result

Key Value
FileName./usr/lib64/R/library/mclust/Meta/data.rds
FileSize460
MD5AEB91929FD8FA8F65F3C136C42EF955C
SHA-1123C85008716620E77D0B37CDA310EFAFB11F3A7
SHA-256F95C9D371255BEF103DB9A78422C0A185E9D338593E9D236A03FD326D145579D
SSDEEP12:XKTA5sSOyC9JWUnC5XhAlwlYm5P2xdkv+axxn:XKTA5sSOHZn06mB2x2fxxn
TLSHT143F05C0006B029028ABFA57CA2A12137ABA1A784380AE0836E0047ACC422B10268DD3A
hashlookup:parent-total4
hashlookup:trust70

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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
MD523ECE46B3806C6332E4DDD4FD160596E
PackageArchx86_64
PackageDescriptionGaussian finite mixture models fitted via EM algorithm for model-based clustering, classification, and density estimation, including Bayesian regularization, dimension reduction for visualisation, and resampling-based inference.
PackageNameR-mclust
PackageRelease1.1
PackageVersion5.4.9
SHA-10E40BC0CD0FCCADFDC15BCF08677C064CCE25EF5
SHA-256AD7102962ADD9EA3F7029E9B5CCFA19A0FA41729D6C9122384796B9C5EA749C3
Key Value
MD503887CCD3F04EE0FF4B2105DED18E735
PackageArchx86_64
PackageDescriptionGaussian finite mixture models fitted via EM algorithm for model-based clustering, classification, and density estimation, including Bayesian regularization, dimension reduction for visualisation, and resampling-based inference.
PackageNameR-mclust
PackageReleaselp154.1.1
PackageVersion5.4.9
SHA-1F401367C6B93B5181293BAB44DA3A1DF341F0C99
SHA-256F9724EA7C5CC754DF06CBD3011709417004EE27D1BC9ABB283FD6C3B35CE9446
Key Value
MD521C9127787D4806B675C895F584AD9D6
PackageArchx86_64
PackageDescriptionGaussian finite mixture models fitted via EM algorithm for model-based clustering, classification, and density estimation, including Bayesian regularization, dimension reduction for visualisation, and resampling-based inference.
PackageNameR-mclust
PackageReleaselp152.1.1
PackageVersion5.4.9
SHA-1153733CF8FBCF0F962A7F8248333DF99F2F98DF8
SHA-2564F97B7065C2F77507D820CFA86F7418FD1D2783E7F69988BB10CE44771BA2D3A
Key Value
MD5CEB4F6B924734058EC3F5FD18BBDB32C
PackageArchx86_64
PackageDescriptionGaussian finite mixture models fitted via EM algorithm for model-based clustering, classification, and density estimation, including Bayesian regularization, dimension reduction for visualisation, and resampling-based inference.
PackageNameR-mclust
PackageReleaselp153.1.1
PackageVersion5.4.9
SHA-1D1778A531A2EF0E310C4F53C4FAD938C8D77D9D7
SHA-25606A2F900A23ADF9FDAA309A19B7D2A2D9A3CB8B04465415F7EA228C42900FDDB