| Key | Value |
|---|---|
| FileSize | 1424288 |
| MD5 | 5150E710168FBA9468C4D531224D271F |
| 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 R Packages Maintainers <r-pkg-team@alioth-lists.debian.net> |
| PackageName | r-cran-glmnet |
| PackageSection | gnu-r |
| PackageVersion | 2.0-16-2 |
| SHA-1 | 06B5C2B44BC66480C4D15A7D3CA46DA0E39D4045 |
| SHA-256 | 580D90130FA1CE3C9FD9E2CF04BB667E34C811B4AC6C76D9C36F96EB73BC5A17 |
| hashlookup:children-total | 43 |
| hashlookup:trust | 50 |
The searched file hash includes 43 children files known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| FileName | ./usr/lib/R/site-library/glmnet/help/paths.rds |
| FileSize | 221 |
| MD5 | 88D348A1351A23FE12631D08D17A065D |
| SHA-1 | 0AA70CA8DDAE81F5963D67AC36678156F4436E56 |
| SHA-256 | 442EA1EFDE1C23E027AC12A20829814B963B0AB9F33E00450EB96CB282407342 |
| SSDEEP | 6:XtRfFpksRU8VF4kveAvp59ExM0fNh56BbTjiNw2W:XjfFTLOkGAvp5mx1QB/jaW |
| TLSH | T16DD0978818530681C38232B43B5E0FC1402692231848900E25094E69382CF4C0584478 |
| Key | Value |
|---|---|
| FileName | ./usr/lib/R/site-library/glmnet/Meta/hsearch.rds |
| FileSize | 1005 |
| MD5 | B53CAFD956644826B04F221340EC1245 |
| SHA-1 | 0DCF31311CB5DCA340AF86999FA7588C2625573C |
| SHA-256 | FD390CC5FC66B2DC5F7C55A4DB7111BCFEA3BD96D84E6ED24AC4FA12FEA37BF6 |
| SSDEEP | 24:XcHR3P0BpZlfMXAJMvbL2akbiJGU81dpvCp:XnBpZlUX9bL5JGxpa |
| TLSH | T1CC1108AFC1380BC0ED01613ABC2A8D82428D2BC30543CACA04A68C4B7F2436DD25A1FF |
| 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/help/glmnet.rdb |
| FileSize | 57991 |
| MD5 | 5127EA17D0D1CD7E0FDCF2CBC62C4C40 |
| SHA-1 | 1C416278ACA9B60D8236BE99F8FB4BCF38984B93 |
| SHA-256 | E8598CE4D55C0F90DE55C4B5F5CB1D0E6B9E3A8583CA516FC41E334B4684195D |
| SSDEEP | 1536:sGNhODLvGrdoRBDQZl0KvyS9T7XCaI3fAqUSWT:sqmmojWl0KageaI3BURT |
| TLSH | T1A743F16A7F49429F2828B10122741E74407BFAA0356D1DFEC3F71CAF764955BAA924C3 |
| 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/R/glmnet.rdx |
| FileSize | 966 |
| MD5 | AC66B5EA63A883A585ED1DD46542FF64 |
| SHA-1 | 2292871179124F71BEB8EB47DF85DAA9FC1B1F01 |
| SHA-256 | 07D37EB314B7364905DB0FA4717D8A942DF71A767FABCB6FFA7DCB363DA4E946 |
| SSDEEP | 24:Xn1KwyZ7nFUNNf7rSJy6iNd7rROv8YoqjIjr:XnR4izTSy3/wvIP |
| TLSH | T1271104C6B39C45870B0636B9AD4210DCA20A1CA2860AAC006FF0CAEF3AC462C818CC24 |
| Key | Value |
|---|---|
| FileName | ./usr/lib/R/site-library/glmnet/Meta/package.rds |
| FileSize | 1132 |
| MD5 | 391A6F33E4133C825E222C43A4DE434E |
| SHA-1 | 25687892E2540A18F3601BBE68CF2C4311F72D52 |
| SHA-256 | 66880720F576C376C21311ABEE5E45DFE4891F7E912C919B8345E9F672558D17 |
| SSDEEP | 24:XCkLZtl1yRJtHhDj8wNEhAOX67bHG6dMUeZ3sLqUdmKz+az/:XTXjy9h8dXMbHGhfZ3s++zJ/ |
| TLSH | T11C21C690D06E3D91A40EAA2A09B1CA67230269A2A5B9089CF7F1B84333970C807B4C56 |
| Key | Value |
|---|---|
| FileName | ./usr/lib/R/site-library/glmnet/doc/Coxnet.pdf |
| FileSize | 99160 |
| MD5 | B93977CFD7EDB18AA6D6DAB4E522C823 |
| SHA-1 | 2FA874EE6E68D66FCBAF0F8BD484BB98D172AC17 |
| SHA-256 | DB616069B5589B85913AADD6E30FD1B0E62A1C04A9E2C098385AB2F9C6C45BFF |
| SSDEEP | 1536:ZfpGi0TnIt7NvTFa7W8briy3z1zrS13kFQfW73DvMmk8LuXS3Gy021Wz+d4t:Z8zTn+auM1zrlQe7DvMmk8iC3GyxoKdO |
| TLSH | T1E1A312A9A256196CC82AD2F3A90D98F11263E350EF004D965C8E5B371FF9F360575371 |
| 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/Meta/vignette.rds |
| FileSize | 256 |
| MD5 | 7AE8C234B9F2AF29C028F64ABA4B4DE4 |
| SHA-1 | 3EE912F1C7217B349C17FBB19316F66FF351DC32 |
| SHA-256 | 772D144C7955A67928F9B71350FCE46DEA81FDC15A7E567EF6C466185B4C5131 |
| SSDEEP | 6:XtQDqaEjhmvBvYbh8Co64ciTjf1M7NQaR6UcvzRKLmDqx:X6DYcBehTof7jGJQF9vFKLhx |
| TLSH | T19ED02B007F0B65C0E5DC2CF49560B617A4845E1384BE592166C5A07510A57A4EA11C11 |