Key | Value |
---|---|
MD5 | 90F06A6E3B8B9372FB58602D8572B029 |
PackageArch | x86_64 |
PackageDescription | 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 regression. The algorithm uses cyclical coordinate descent in a path-wise fashion. |
PackageName | R-glmnet |
PackageRelease | lp150.1.26 |
PackageVersion | 2.0.18 |
SHA-1 | FF20AAA2DDA4E88A6A144191EFA122D866B6E842 |
SHA-256 | 464A4CE55769E5D0418F36F8E528A6A09978E02940FD1318F32197A21EAE9B3E |
hashlookup:children-total | 39 |
hashlookup:trust | 50 |
The searched file hash includes 39 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | usr/share/R/R/nspackloader.R |
FileSize | 1058 |
MD5 | D6C68F1FE41CED6E98A766A3757313DA |
RDS:package_id | 293685 |
SHA-1 | 12C0D3D6E3F5B5D749C93FECA122CBA34B466AB5 |
SHA-256 | 570CA456B280CDEB201EF5EBDF22DC8F80092E2C0C68E33C7F73340E420F3759 |
SHA-512 | 6824A8335BC36AF7808471FE603E2C4FC7B77BD08D61DF060B80444424563B0764DE87AAD8D6D20E926D02AA20E22528FFA8ED517AF5F35A01ACFA8BD2A90590 |
SSDEEP | 24:do2pvjejSRmcyAOkHjlnAgAcEWrwYahkB1OOV0Ea:d1jeuR5ysHju3cZVHC |
TLSH | T1FB1142886410D7FB6A0104853C4F22CDE31F6723729DA091300DD12F7B0DE7552F69D6 |
insert-timestamp | 1728198681.437601 |
mimetype | text/plain |
source | snap:VCjprGsSZiPuV3CmQViE4TvPMKTOlaiL_119 |
tar:gname | root |
tar:uname | root |
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/lib64/R/library/glmnet/Meta/hsearch.rds |
FileSize | 1110 |
MD5 | 86D1ACB24757A69E64BD23571238DCB6 |
SHA-1 | 1665100E45D775B4B1F13E68DAAF99F1C84413AA |
SHA-256 | 185D0759E1B14043BCD8F0518BAD92ED3095427EBC943C4A7AF8A60571E93A71 |
SSDEEP | 24:XxF5uSdgJcpG8v5uADWnIHFcnlS7ezR8z/npNpZvxYboHzjcTa3P:XxF5EcpG8On2QkwI/pZvNH8Ta3P |
TLSH | T1E311B954A14E47D3965AA77B6E8D90C372604A66FC8B1AFE6C7F130DC03D11CCB04150 |
Key | Value |
---|---|
FileName | ./usr/lib64/R/library/glmnet/Meta/links.rds |
FileSize | 564 |
MD5 | 36D51C47DB0265B5244773FA150C73A1 |
SHA-1 | 2343E303F084DBCD4E9EEB6C054465CF969CCFC3 |
SHA-256 | 3138E6BB0C733734315C14238DDBB3E6924A9C953C1EDA66783F84E929D82534 |
SSDEEP | 12:XDr2XZtex6WjbfXGhgt8viNjtjgfwAkRV2LTdlS70NJxF:X32XZW9vGGtVNjQiRV23vNvF |
TLSH | T10DF041F81B13909AE4B622F9E605638230C850002141C3EB840009A5222C1BA207F0EF |
Key | Value |
---|---|
FileName | ./usr/lib64/R/library/glmnet/help/glmnet.rdb |
FileSize | 59038 |
MD5 | BBDA16BC58986175C745A5A74387B8A4 |
SHA-1 | 2987FD5A46B94E024A2EED87075818EA4B1BD3DB |
SHA-256 | 3A7D20B6BE7CEDEFFF6C5F6013E3F6B93579D16A71885E11898B5E88BAD60721 |
SSDEEP | 1536:SihH1d10boCPeL0cX2dUo5b4sLlT3ufeqDwGwSTyONW4vIopVl:FXd6lPatmh5b/L93EetWWYWSl |
TLSH | T11F43F1DCC524A10845A88E194CA15E2424FF9055DDEABECFCD701BDE8ED3CE6F05AAD8 |
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/lib64/R/library/glmnet/Meta/data.rds |
FileSize | 262 |
MD5 | B4AD02B2ED33ACE121B2B2C3BB08492E |
SHA-1 | 3FC25B28EE551B3DE8444B2CEBFBB53C15339E1F |
SHA-256 | 34912F52EA88257C8DE667CFE32C3E058B2AB762CFE280CF70C67AE1B11909FF |
SSDEEP | 6:XtNnvNiIi+5F1P8yBjoGEII0aZxa09qA4O:XbnbP1AVV02 |
TLSH | T15CD095D8051F51745F7D9EF007405DF0550DE08150572DFFD90424A629071E087FC30D |
Key | Value |
---|---|
FileName | ./usr/lib/R/site-library/glmnet/data/QuickStartExample.RData |
FileSize | 16275 |
MD5 | BEAFFE6C0AE597F8803216E3BBD4A2D1 |
SHA-1 | 4780FEA382BAF1C0D07649391097DE0D4C7CC99E |
SHA-256 | 54772B53668F445FAE157BDAC055792F90164200FDF81DAB41D481D07020E82E |
SSDEEP | 384:0MXz8GzUeowHK7zeIV6tfUWT7OHFRHjVRmOV0oNnH+IfiI9G3e+:0MXZzUSqeIV6tfhXO/DxV0oNBpF+ |
TLSH | T1C972D030934A89239D41070C125FCE36CF60579761A1E2B6FFD335B242D77D509B1E66 |
Key | Value |
---|---|
FileName | ./usr/lib64/R/library/glmnet/Meta/Rd.rds |
FileSize | 966 |
MD5 | 997804E0369F8830C513946BFEDDB297 |
SHA-1 | 4993E36FB38B982227D58AE038BC41922C1BB404 |
SHA-256 | DB175D8B9D8652F55A33E825A679255180AECDD877966DE5408A37E9CFD58178 |
SSDEEP | 24:Xz/hrSMoYNovdMAVR05jFGh5oNpTw1Wz9rh026h:XTUMhNehU55GhyTTw1Wz5h026h |
TLSH | T1C511C8BC2734346EFDFE93946447479C7638D5089103B049A80200B1F8895E25854096 |
Key | Value |
---|---|
FileName | ./usr/lib64/R/library/glmnet/Meta/vignette.rds |
FileSize | 257 |
MD5 | 606D9D933BD7E4DBF80A07EC92414989 |
SHA-1 | 49D2B43224392B8D830360C203856A3C2349BFB1 |
SHA-256 | 71666C493D113FD5C34B40AF9B28F717E7CC1D2DC1274EEDB262025BCD6C2327 |
SSDEEP | 6:XtQD/aNru5l4W4YBUS0Y4DwsrXOUguyNq5jePvJn5M/ukoId9ULVRpc/:X6D/dl+YS4Wwrd65iHp5ecLFc/ |
TLSH | T1B0D0952615765C4D654617F44501F21D024377284172F774D301D7E406C40FDDCB2BC2 |