Key | Value |
---|---|
FileSize | 1572724 |
MD5 | 3B2B7AF3464C868CB02B24ED6FF50CBE |
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 | 6BADA695A1CC8225D91069023183F2DB6C133371 |
SHA-256 | D32C4E1955DF7ECBF6106A6D80B46D33BF9FAB3FC781241A4CCA800FB1C49ECC |
hashlookup:children-total | 41 |
hashlookup:trust | 50 |
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/help/glmnet.rdx |
FileSize | 421 |
MD5 | 6CD220305ECEFE5BB56ED8F7A9A6E032 |
SHA-1 | 010EA24BEEDA6DE6E2F78F9B3A7466994C8C6D08 |
SHA-256 | A6374F7F515B6A5DDA38EB0C649CB3006DD54AB250334BCC877CD820C25F86DE |
SSDEEP | 12:X/OhB+7v8q2aWoy0OayeyJgFFNZhcoa78p:X/O+j72aWoy0OaBFb9a78 |
TLSH | T11CE0AB04641A0028DB1BCE3187E6E12294DB8CC293A9B98B862CA8113C0857278A58BB |
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/Meta/package.rds |
FileSize | 1087 |
MD5 | 6461527161561E5494F0494038DEC57E |
SHA-1 | 04B756C4E18ED046D60CC412A2815FFFC9C572D5 |
SHA-256 | A7768A4DEA31473933950F26344A185AF49DB6FFE933CD9F689BCA1C69A2746C |
SSDEEP | 24:XWHwke2OOzdln6J6wHZ9A+KgFMhW+8mUNNJFNpAzvFjABvz9Tg8:XawkeAl6J6a/K8myNBOLF81xTg8 |
TLSH | T13E11866E57029696C500D27069978270C259BF61E1DFDE085144AB133A5B7B22C4074D |
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/libs/glmnet.so |
FileSize | 264584 |
MD5 | 23472F86B0B7D4000F5BAFECD600B620 |
SHA-1 | 383CF8715973D5CF91F40F4A60645796FCFEF51D |
SHA-256 | B7D67EA28F6A7969996BBD8B88FC9DAA1091E0D1E609E947ACEE669D14EA0FAF |
SSDEEP | 3072:UgxPglxOwItwifKz2MaIK/x5ESkQbwMhkMsEKblfko/:jRw9ISifU2+K/xeSPkMcxD |
TLSH | T134447D163F4C4E56E7405C7787DFAC6032C23D5A0638D9E3DAA8431BAEA4A1D4F57C8A |
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 |