Result for 3CC40F1471B1EDECCEC5D6AE2D538AA8A17266D3

Query result

Key	Value
FileName	./usr/lib64/R/library/mclust/data/GvHD.rda
FileSize	114298
MD5	8B9C347696C53278B5F40FEEA6A15FB0
SHA-1	3CC40F1471B1EDECCEC5D6AE2D538AA8A17266D3
SHA-256	2E25B42ADBBCD8E0A51D6DE4EB72E85FCF791D7C8EE41DBC5F82D44C9B005187
SSDEEP	3072:G6FhEEr+/ehWKIvM2kEgMLrYXTqjNfd5WZN:G6FGk+/wDaM2dXfYXMr2N
TLSH	T177B313EFB805D8B45852D7773B783F6F0E22D58261625CED02C4A8339B4A7325A63C27
hashlookup:parent-total	15
hashlookup:trust	100

Network graph view

Parents (Total: 15)

The searched file hash is included in 15 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	F0CC3A25BCED24FDE83FDD3156E13500
PackageArch	x86_64
PackageDescription	Normal Mixture Modeling fitted via EM algorithm for Model-Based Clustering, Classification, and Density Estimation, including Bayesian
PackageName	R-mclust
PackageRelease	lp150.2.47
PackageVersion	4.4
SHA-1	456481662AE5CDE12EFAA74DBAD76A30AA8AF86C
SHA-256	158AB871EC58C7691A1CFD2904D04F8F24BFB9B26EC79A22FD7E715BD05443DD

Key	Value
MD5	2A27321852987A3E244F3C370D316D73
PackageArch	x86_64
PackageDescription	Normal Mixture Modeling fitted via EM algorithm for Model-Based Clustering, Classification, and Density Estimation, including Bayesian
PackageName	R-mclust
PackageRelease	lp153.2.15
PackageVersion	4.4
SHA-1	4C9F3B44AC5A919AE43B42E33B319260204DD904
SHA-256	4E58884BBF3B041BE221F8D87D37C70ED671BF6E1F4D986185217C235C78BA30

Key	Value
MD5	EDA2C8EF03B457E7A977685CAB3710A2
PackageArch	x86_64
PackageDescription	Normal Mixture Modeling fitted via EM algorithm for Model-Based Clustering, Classification, and Density Estimation, including Bayesian
PackageName	R-mclust
PackageRelease	2.26
PackageVersion	4.4
SHA-1	CC38A6016C0D2C8E05A3BEC619CC01513CE2BC40
SHA-256	809AEB5E09D3C5605A6EDA3B07B0A85F3DAAF55DB7A7C096C3A28E2E39DEE72D

Key	Value
MD5	A06D43A05194791FB31CA12327A6381B
PackageArch	x86_64
PackageDescription	Normal Mixture Modeling fitted via EM algorithm for Model-Based Clustering, Classification, and Density Estimation, including Bayesian
PackageName	R-mclust
PackageRelease	2.202
PackageVersion	4.4
SHA-1	34FBEF2C0900B19CBCB04B3BAD1F2777A765A6DD
SHA-256	C858DD090E2ACD0597C65FFB73CB9EBC250B347966B49B40B912916D35651A8F

Key	Value
MD5	5A381E618355AFB5EE23094A0326A231
PackageArch	x86_64
PackageDescription	Normal Mixture Modeling fitted via EM algorithm for Model-Based Clustering, Classification, and Density Estimation, including Bayesian
PackageName	R-mclust
PackageRelease	lp152.2.21
PackageVersion	4.4
SHA-1	F17B8DA38B244132331698F650FF33A3B2468164
SHA-256	14D2198B562C5C4E8FD16A6EDF53D5AC4FAEA522317FE31F6F07EFD0D1137655

Key	Value
MD5	36E24ECFC5C7A2D60592F5394013D0F6
PackageArch	i586
PackageDescription	Normal Mixture Modeling fitted via EM algorithm for Model-Based Clustering, Classification, and Density Estimation, including Bayesian
PackageName	R-mclust
PackageRelease	lp150.2.4
PackageVersion	4.4
SHA-1	EBADF9F8145E814E76E8A251050BC6ECC064EAAE
SHA-256	59DCAE6A633D2104C4A44F3297BCDCA3919538173EB3B1B4DD8EABFB4149574A

Key	Value
MD5	AA9B7135121A30E3DB66D0C9FD91D48A
PackageArch	x86_64
PackageDescription	Normal Mixture Modeling fitted via EM algorithm for Model-Based Clustering, Classification, and Density Estimation, including Bayesian
PackageName	R-mclust
PackageRelease	lp152.2.14
PackageVersion	4.4
SHA-1	BE309A8925E1B4C08A8BD38D883ABC8C3A69669E
SHA-256	B275931A987ECD7AEED9CBA08AD56115ED1A16D32B9E6B21F1B4BC0B0118F1F5

Key	Value
MD5	1E04F3CACD7F447EA053987D17F46995
PackageArch	x86_64
PackageDescription	Normal Mixture Modeling fitted via EM algorithm for Model-Based Clustering, Classification, and Density Estimation, including Bayesian
PackageName	R-mclust
PackageRelease	2.6
PackageVersion	4.4
SHA-1	9ED64E2889FE082B3031143DD6F041BA2B5D12AF
SHA-256	EAC7786736010AE3875B3A41ED5E67085BBA5E22D52AC2F2E00250D36EE5D6EF

Key	Value
MD5	73A3FE45652B600C19D8FBAE5A0EEDF1
PackageArch	i586
PackageDescription	Normal Mixture Modeling fitted via EM algorithm for Model-Based Clustering, Classification, and Density Estimation, including Bayesian
PackageName	R-mclust
PackageRelease	2.204
PackageVersion	4.4
SHA-1	D0C565885073900D543E71CABF4D6F3125416214
SHA-256	F79D1A854E13FF8B256EA5A57335FB5BAC0A66F3799233363552688F125040E5

Key	Value
MD5	DD4FC0C50DDC9F91901B7AE95D219AD0
PackageArch	x86_64
PackageDescription	Normal Mixture Modeling fitted via EM algorithm for Model-Based Clustering, Classification, and Density Estimation, including Bayesian
PackageName	R-mclust
PackageRelease	2.19
PackageVersion	4.4
SHA-1	9F1D1D8EF4F63C4CBB7C24ABA456F3A1DED46A56
SHA-256	5C17EA85448DC6CB614FE4E06B19A9235B4A52C3A7983A2B0BF2794B44731485

Key	Value
MD5	4B3E62F76A1D738917308238477F99E3
PackageArch	x86_64
PackageDescription	Normal Mixture Modeling fitted via EM algorithm for Model-Based Clustering, Classification, and Density Estimation, including Bayesian
PackageName	R-mclust
PackageRelease	lp151.2.62
PackageVersion	4.4
SHA-1	04B733A9D3A4646D647BF4FFF4AEFD88754CCF2B
SHA-256	7E08CD4139FBB209C59CF6F71FFBD34BEB52BEAAD969394839BF84CD3D13BF13

Key	Value
MD5	5DB56A418A1DB8F0C015A07EDA23278C
PackageArch	i586
PackageDescription	Normal Mixture Modeling fitted via EM algorithm for Model-Based Clustering, Classification, and Density Estimation, including Bayesian
PackageName	R-mclust
PackageRelease	2.202
PackageVersion	4.4
SHA-1	68D0651E7BA0C027A8CFFF759A352DA450083091
SHA-256	DF475C758D0D1800276A87129BBA01D77401AC9CB7AE039B493641473F9CF009

Key	Value
MD5	CD44B5D47F5B8B41DC4F8593E2464E72
PackageArch	armv7hl
PackageDescription	Normal Mixture Modeling fitted via EM algorithm for Model-Based Clustering, Classification, and Density Estimation, including Bayesian
PackageName	R-mclust
PackageRelease	2.159
PackageVersion	4.4
SHA-1	0003530BC038607E10A33EC093B6E0D0410DCF27
SHA-256	7B4D13397BDCF6143CBFAFD4A63453A9FC838ECD9CA39A2F5C124D85A036201D

Key	Value
MD5	EAC825436B59691827D691712F3C8ED3
PackageArch	x86_64
PackageDescription	Normal Mixture Modeling fitted via EM algorithm for Model-Based Clustering, Classification, and Density Estimation, including Bayesian
PackageName	R-mclust
PackageRelease	2.20
PackageVersion	4.4
SHA-1	1D6125E010F784B8D6282B22C44C727024DF92BD
SHA-256	1C7C5B1F5FF224BA55D66088943773FBD58282249DD1432437B5BB3CCC00F1F2

Key	Value
MD5	229B3F6C22F3CF681D83828B7E5618A0
PackageArch	x86_64
PackageDescription	Normal Mixture Modeling fitted via EM algorithm for Model-Based Clustering, Classification, and Density Estimation, including Bayesian
PackageName	R-mclust
PackageRelease	2.204
PackageVersion	4.4
SHA-1	ECD2FCD85DB0F877EF04E76C9A1F1B6FA27AEE1B
SHA-256	A51A39A7B65221F7751D292C2FC268A433C106619F330C61BB58C85FB5EF3392