| Key | Value |
|---|---|
| FileSize | 1329976 |
| MD5 | 16191CFABA77CFAAA14EFD7455BAB056 |
| 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 | 2.0-16-1 |
| SHA-1 | F235445591F95A15949BAC9CABC11BD3EE343F3C |
| SHA-256 | 767692011A29798745170002F1A3EBC85D63CB5DFD2FBC079FB96CA400B7C9F3 |
| 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/libs/glmnet.so |
| FileSize | 224316 |
| MD5 | A5CEA84B2ADC643F0A31EA834AFE8532 |
| SHA-1 | 0FC7ACD2A2E9E64E536B6B242FB7970B5FBC1528 |
| SHA-256 | 3636D924DED31AD8E31027E71689172383002AC3C1748366502C6E026EEC74BA |
| SSDEEP | 3072:alMJbJXQclyOcwrLDCVCHM6vAqjX0owhubaVXYICIgwLV6zLth8CkbOi4Dn/LqOi:k+NBlZCQfvARowhubKX2IgvMbOi4DD |
| TLSH | T12F240A65EFC7C0F0D1D308F401A7A23BB8342F16A019E2E4DFD6BB56E9A5B11DA75224 |
| 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/links.rds |
| FileSize | 540 |
| MD5 | 6E5A94BEBB637A9ADD753690FBAC5580 |
| SHA-1 | 1516D09A525F43844947A2C788AD677B823F0C39 |
| SHA-256 | 76E69145E741FF18A9DF384B8FB3639AEE6B8BC6489846FC0FD5BE048160EBEF |
| SSDEEP | 12:XLhEz9gfjs8bVXu399eg3rQCS10I0NXmIj+OlhMIwPV532Qv2Uy7mVvZk5bmD6:XLhgefj1VXutmkNk5G6wisJ |
| TLSH | T13DF075C89BC2F00D459B113E73600CE9B94B127F11C0405638080374D02B0139C38FE4 |
| Key | Value |
|---|---|
| FileName | ./usr/lib/R/site-library/glmnet/Meta/data.rds |
| FileSize | 242 |
| MD5 | DD8488EE5A7550D34C7FB777B155B2DA |
| SHA-1 | 1CE87A7B31BFDBC2B97D1C7BCC8F3DE5A9B16D6D |
| SHA-256 | B9BFCE1A4AB029D1DCB68E80EA65186D566D3A8874B543F20079B5F2DA6DE582 |
| SSDEEP | 6:XtXKl9no5fMYC4jamxAXAQcRcMYlkVXgsLBNYjO6x9J:XgYxHTIABFVXgC6bJ |
| TLSH | T192D09767F054ACB2F163E1B040C2B01E2CFC329230E0F900388CBE2021215F046E2699 |
| Key | Value |
|---|---|
| FileName | ./usr/lib/R/site-library/Zelig/R/Zelig |
| 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/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/help/glmnet.rdb |
| FileSize | 58000 |
| MD5 | 3C48B6DF603BDE50D98142D85A5DF98E |
| SHA-1 | 36A314BDA4F809A2FBF3404BC176529BFB18F4F4 |
| SHA-256 | 37A56F6E61724720A82907EC79CE61046047404F12FEEDA64BE22C3444899FA4 |
| SSDEEP | 1536:kuGNhODLvrOVZgFmIf0hksXQu7a4BLaS4P3t:dqmjmZgFZ0hkoLaSqd |
| TLSH | T1B84302311C6A47891EA0E7822B7C8DA5E5AFA58021FE2375E3C67D838FC2C1F8573655 |
| 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 |
| Key | Value |
|---|---|
| FileName | ./usr/lib/R/site-library/glmnet/Meta/Rd.rds |
| FileSize | 949 |
| MD5 | 53F43EDF6E091798A09D2BAF046DC940 |
| SHA-1 | 4602C4B20640DAAA93C40195FD58C3587B5695AB |
| SHA-256 | 1BCB0B852BD09F711989B1BF0BBC531D25B1447A179A43E3A64BEB2065C9BD13 |
| SSDEEP | 24:X0NAX6tEZHyKvRAm7MorDQBU8E2i64tKY:X0NAXXxJAm7M4J24tb |
| TLSH | T1A211886018ADCA40FEF109B7929805270BA99B6143CF9D700516E0226C5D647ADE56D1 |