Result for 79AFFC077EA752B7F1B411A9BDEBDB7486135454

Query result

Key	Value
FileSize	1566690
MD5	6B89D5849E41A7A7FCAF949DD2AC5999
PackageDescription	Lasso and Elastic-Net Regularized Generalized Linear Models Extremely efficient procedures for fitting the entire lasso or elastic-net regularization path for linear regression, logistic and multinomial regression models, Poisson regression and the Cox model. Two recent additions are the multiple-response Gaussian, and the grouped multinomial. The algorithm uses cyclical coordinate descent in a path-wise fashion, as described in the paper Introduction to Glmnet.
PackageMaintainer	Debian Science Team <debian-science-maintainers@lists.alioth.debian.org>
PackageName	r-cran-glmnet
PackageSection	gnu-r
PackageVersion	2.0-5-1
SHA-1	79AFFC077EA752B7F1B411A9BDEBDB7486135454
SHA-256	99C4200BEC499A63637C181731F2044F6A3D0A35F770E39C244780281FA78A2C
hashlookup:children-total	41
hashlookup:trust	50

Network graph view

Children (Total: 41)

The searched file hash includes 41 children files known and seen by metalookup. A sample is included below:

Key	Value
FileName	./usr/lib/R/site-library/glmnet/NAMESPACE
FileSize	1427
MD5	68658AF28DF01DD57BACB509F635B5F3
SHA-1	007B97F6B44C96947EC051B9DA136CECEB07CA6F
SHA-256	8264E9436D3EE19E40431AD6E08988D64289E725A856BFCF9DAA1BDEFBDDAA3A
SSDEEP	24:7ikFU89joRvndBHobYNPuqS1/pCTWmtDAoO8JtCqtTt2t3ttvtBt5n1P4tsa:7FFzMvnd5XNPCNCAmJUqxgFnXr1gKa
TLSH	T19B210AF9C56B08A5F48E7EECB19F658AAFC0D435469194C4EA14D31A96AC00EF023A0F

Key	Value
FileName	./usr/lib/R/site-library/glmnet/doc/glmnet_beta.Rmd
FileSize	52036
MD5	99C32CE3AC28A16FCE07AC7727B6AC96
SHA-1	01E839E715B822DC6149FAF3D038EB36D174987B
SHA-256	477F0F3657211986B2AB8AA3620E84AE5031EC6BEE69F367D031C6A053AAD180
SSDEEP	1536:6J1+9bbcuzLApdXIsANqQfDGk6cZUgztOykeK:K+FwuzLApdXIBNffX6Ui
TLSH	T1C333F977B34D23B21B5301F5D74F01E5BB2981F8B3A289D4346E87281606E6DA2BB7D4

Key	Value
FileName	./usr/lib/R/site-library/glmnet/doc/Coxnet.pdf
FileSize	55045
MD5	7B66DA85EDA2926BA27F933537F6144B
SHA-1	127A906109A70716C3C3E0ED6AB75B352AD1D7DA
SHA-256	D90C4CB280ACF640B2F739589200E44DD58061C1532F4A44AE0E039BD96597F8
SSDEEP	768:N0g5co2RF8vCWz4yjLUwShOU0Q1hkXfZD+L5UdBOjUoC/nizeSnyNEZBOeLn:6gAz8KzSZSb0XBD+LAMC/niYNEB/
TLSH	T1B03302CCE35242E8EE1443247D2E57F698FD9280805942D7799AC60B993F9A9F0F8FD4

Key	Value
FileName	./usr/lib/R/site-library/glmnet/data/PoissonExample.RData
FileSize	77450
MD5	C4F36770E60C6421603E9933930FEC06
SHA-1	13C1EC90F08B2E7F7196E4662C1F93A4B2CF28DC
SHA-256	71CD6FC39631CFA8C9C773474EA5D2DC30D756BF41FFE1409F593DDD46073850
SSDEEP	1536:UuxAxCWmLla8fFQTOWozC3dHZ313oVBqY4erET5iYkk/q8MXiXqRTQ+E0MhE:DxiC/LlaAQTXmw3T1kk/LkJ9E0MS
TLSH	T1C0730281D81F02D6EA299D17C23C0DEEB8F162D0935A9E65594F836D43CA0327A1EF0E

Key	Value
FileName	./usr/lib/R/site-library/glmnet/Meta/hsearch.rds
FileSize	981
MD5	5AE4E8D3BD0EF9A7DCF13E65E8A152B0
SHA-1	170284211504BC94319ED39C282FAE37A8F4FBD4
SHA-256	17B9102208BA80F74D81D833944C327DE68CCFED67C44FDBDEB69CC5A316B737
SSDEEP	24:XrHIChtFeNg7CUVQvvf91zt6jOxC5VniyihbiQmPlY0:Xp7CUGnF1zt6j+CVn/ih2xu0
TLSH	T16F11A5C4F182509EC95343863F603CF46FC1632E45CFB60084BA0B8FCA13D182498A01

Key	Value
FileName	./usr/lib/R/site-library/effects/R/effects
FileSize	1056
MD5	EBF0FC819595D631B8BF280C4B049940
RDS:package_id	182052
SHA-1	1E3082B0E541341846B7B27EAC2126CAFB0E00B9
SHA-256	2FB8B16BE23C820DAF2E51B7DDFEF61CA4978E561B1D228D546D1B356041F79E
SHA-512	A427BB0442BB076EDD389C8553F618B54605012BDA8E62409CA657C7B000404E9E45684C03C2F4444C331A994BB48C98892DECED8153DF04654982EBF900F956
SSDEEP	24:dh2pvjejSRmcyAOkHjlnAJAcEWrwYahkB1OOV0Ea:dijeuR5ysHjuecZVHC
TLSH	T13911208C6410D6FB6A0104853C4F12CDE21B6763729DA091300DD52F7B09E7562F6996
insert-timestamp	1679428382.0662453
mimetype	text/plain
source	RDS.db
tar:gname	bin
tar:uname	root

Key	Value
FileName	./usr/lib/R/site-library/glmnet/help/glmnet.rdb
FileSize	57285
MD5	84DD46B53267359959E9A509CCAACAEF
SHA-1	23FC9A8DE18C5D4B9688A553AC183B3E105A3C03
SHA-256	9AD9CE7220A54D40BE1C0F3213B4409A9E69EC7632DD13FA3B13AB1741AEBE1C
SSDEEP	1536:ViKXCMZubE8P6+bv033CNHO+FNNe3GEIpOT/aVNyu8cj:ViKXuTpv033CEge3GaJpcj
TLSH	T1E24302B787291F4C1B4AE4350E5B28A4805CD7A7F4EA032C5240E6D6E82935FE6B764B

Key	Value
FileName	./usr/lib/R/site-library/glmnet/libs/glmnet.so
FileSize	268800
MD5	2260BF5A96B7542E50FAB7F3F23C86E0
SHA-1	34C7C4829D88123EB124643C9A74F5B1BACEE4CF
SHA-256	770EA10502A00FC26827AC367CD3148B77E253DBE44A08B1FE2A92C2E07A0163
SSDEEP	3072:sHlem+160PvxFHvbboWdEJ+ds+pK3/KtR2HBpg3dUUCmdpnsnJyBlZykdN7:4lemoxFH3oWy+L2H3giUdjnsnQp7
TLSH	T1A944C3DBA960839AD4F0AC37D9D963B6972335392BE22F1C97D4CF72046B250350876B

Key	Value
FileName	./usr/lib/R/site-library/glmnet/CITATION
FileSize	1741
MD5	C22D19C217BC163A2C38B84ADD608C31
SHA-1	3B1640E96FA63A738F7A872EB3FC9E3C07913FF6
SHA-256	2C5229104D32B6623429BABBADA9D378B482F211115CEDA83E69753D647B3166
SSDEEP	24:06n94OtiXnxYroUtg4Iv4XydAn94SEm6FtzXuWuvUtM4SEmtv4XU6:hFiCIQCmyXzNdmQt
TLSH	T1B6318F07E20101312BBF436A6D914443F963877FEB4485AB71FC938E6F42B8592E67B1

Key	Value
FileName	./usr/lib/R/site-library/glmnet/help/glmnet.rdx
FileSize	417
MD5	B5FE2ECCF7FC3A3A02324EEB7940133A
SHA-1	3B1F11B544E8B5CC5A3507DB74CFFDC24972F135
SHA-256	49C694D5DBBE4423D8295635E99074852535ED7DA6443B759FD2DB27662ABEC0
SSDEEP	12:X/FaQNT260C/KUVv3SBRHUTiLWIwXC1jan:X/cQ5260QKASnHgaWTES
TLSH	T193E02BFA0ED6BF07B44649B3E1EC3429292AB20906826AEF08D220001E211E8C5E0A4E