Key | Value |
---|---|
FileSize | 1424732 |
MD5 | 2732995E4E007A6EBE89E3DF59032EB4 |
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 | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | r-cran-glmnet |
PackageSection | gnu-r |
PackageVersion | 3.0-2-1 |
SHA-1 | E243066A3C67064AB3E8582D9E3BB20A87A9CADB |
SHA-256 | 6ACCDD4CEAA34B0F26C88EC0C2BDA03B6500CE4ED59174A9DBD28F70CDFD7DF4 |
hashlookup:children-total | 46 |
hashlookup:trust | 50 |
The searched file hash includes 46 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/lib/R/site-library/glmnet/doc/glmnet.pdf |
FileSize | 344363 |
MD5 | 3B3FEDFC90062B4C1AD490B604657E2E |
SHA-1 | 090A8767AFB3BA5E1206913AF58DA9DEB3CB2C26 |
SHA-256 | B78E3924BB479C1AB4B6321A4BB6C9145D4D7451E5B1FDBD7FCD77EFB379CC5B |
SSDEEP | 6144:GNM1UfVrRmn5h+nuJ2RAp+NtOv+uASL2O07RDqoJo6Hi:N1Uf6rWuIw+NtOvjAS2Owbi |
TLSH | T1E1741214D0F69012C1D41338F50D1A98BEEA91F258B454533C2DCB563B9BAA1BF39EEE |
Key | Value |
---|---|
FileName | ./usr/lib/R/library/survival/Meta/features.rds |
FileSize | 132 |
MD5 | 8F5DFC95B9840B8D958C0AE361FDD699 |
SHA-1 | 0F8D3710372B416B9171F8BFF4B4D27A029DEF69 |
SHA-256 | BF3D989E0D145DE624F1757745111B8CCC9A1671F60C64472B183CA47C639D1A |
SSDEEP | 3:FttVFDYBJWOjf9haZkLgLX3HLZJcvHRmeX3F4ju5M9ln:XtVFkB8OJhhLgLX3Vu0KCKM9l |
TLSH | T119C02B04C3536095C1CC003003DC0EE0882C18A893C4186D2024305430800744EE09C8 |
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/vignette.rds |
FileSize | 270 |
MD5 | BA112D325E0C431932064EE7719C2D95 |
SHA-1 | 14C057649B787CBC3A82608E3DCAAF4CA4C54AFE |
SHA-256 | 35848746A2CADC50F8B5C982A1F778E01EDFCE389723814280D61FCCFE776202 |
SSDEEP | 6:Xt6oggecxqeWqlzs8kpGVkitwMOzzg1XlCVWclkVoFl:XlhxqeTFs9fiuMO/wXlCVy4l |
TLSH | T15CD02BA32BE15940F698A77CD540948351A53C471072C90D0C1115EB64512299535A97 |
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/AnIndex |
FileSize | 2668 |
MD5 | 5030C45A9D6CA7B9D046B906BF928467 |
SHA-1 | 1F5FF80F0FD05D85A4E80C18850EABB44EE21F30 |
SHA-256 | 7F6D73D76B956C061861B29639808B9A5CC7C46977F0BE6DD95E5FFF9B642C14 |
SSDEEP | 48:4aEwrbrnD9B67UqZkGSmLmoU9RpO6GQ/PVpsx3Q/:4O673kLmD8jGQXVp9/ |
TLSH | T1C651C3F6683B8829B48B1DF8C3A3D261AB91893742F7F9C5D51CA325519201DB47EE48 |
Key | Value |
---|---|
FileName | ./usr/lib/R/site-library/glmnet/doc/index.html |
FileSize | 2235 |
MD5 | 95176F81A79AA21A114463A7E8B3B6C6 |
SHA-1 | 245CB8855E77D82F2B3DFD503BC0CE31EBC4B2CC |
SHA-256 | DEEAB8BC4A11BCECF7095192D40B214195697EDD06B1DB0E7317EDFA2F96F23D |
SSDEEP | 48:lmIzi5pmdgRCRYF4ZrNNPr4tMS3d+u3Pctu30tup0xcktMSzu3nctu38tup0JcS7:1zZ84ZrNpEMU+cAbw2MogAXw0MzG1Auh |
TLSH | T182418CD1D6D030683D930C9046956D6C07D3196CAB863F847AEE5A3BF7816F8E3912DA |
Key | Value |
---|---|
FileName | ./usr/lib/R/site-library/glmnet/INDEX |
FileSize | 1687 |
MD5 | EBAB1ED119E67D15A8BA44DAFAE6365C |
SHA-1 | 3669DB6FBA27E9ACE640E8623B7163B6EC2A357D |
SHA-256 | F13D415C0AC76E64280B83945543025677A3B7E0E851A65A94306A6AC347D5B5 |
SSDEEP | 24:YmIRnFfUQn2Q2h3hJXbe+YUq34gzTGilNFtcXCA3GrqvmLdgkBRBTJBrn:z2VUQe3hJLpYBzTGilNFe2GHgnTrn |
TLSH | T1CD310EC29036CF7086174CD5C2870842B76AD25296C3A4CD73ADDB805783B1DF8497D8 |
Key | Value |
---|---|
FileName | ./usr/lib/R/site-library/glmnet/doc/Coxnet.R |
FileSize | 890 |
MD5 | F22779E1C8486853C9301836419F8220 |
SHA-1 | 3789C441EACBE23879207EB122C43C532FA8E717 |
SHA-256 | F2CCE381445E3B951E4403D0EC1260EE04DF5C5FCD09912DD271304374E17DF3 |
SSDEEP | 12:jS3+4eBmG1UiuZ+QKz13CG0wZ+Asz5dNeyLKsEalISdmRqObkQm3n:jSgkG1VRCxPtdNeyLlBevPCn |
TLSH | T1031128B42D4824D3D7E2D503E24946D2EB7E2AF04934BCD8A10A8E1E052FD9C7A7C257 |
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 |