| Key | Value |
|---|---|
| FileSize | 1338136 |
| MD5 | 62423AA084649E7BF964CB9081E863E7 |
| 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 | B28DCA2C6DB1C97D2A6F5531E00C0FB66CC2CF44 |
| SHA-256 | 3136BF3715C52A9782B23D1BE1385C9FE5AE38E4FD417F73C21E5B99E3972766 |
| 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/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/libs/glmnet.so |
| FileSize | 245824 |
| MD5 | 62115DC1E1FD34AD9BF26A1F31EA1A65 |
| SHA-1 | 1945905BF8F7087274CCA89575050DCC95D254FC |
| SHA-256 | 4E5F18E555384A921038C61C1DAE29EC8542C182F31497F0F9708BE2AA8CF871 |
| SSDEEP | 3072:m1EkQ/bvlhenfoxgL41qXIuVYyHUjgzvRZ6D31qzDvINkHgu1g5Hj:SQLlYfol8IlrkjR8DmCUg4g5Hj |
| TLSH | T1CC34E843F1B284DCC492D974967BB023BA71384D813C6675ABC1DE207B7FB10AA6B716 |
| 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/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.rdb |
| FileSize | 42765 |
| MD5 | 324CCEFB8C5BCAD0AB4A44D2F9DF2CDA |
| SHA-1 | 2F035ABA0CA832D8102BEC801420BFAACB752F04 |
| SHA-256 | 15153F68724328626C17450A0480E7AF7408919A224FC97B4AF4DBAD47141DDC |
| SSDEEP | 768:gGXrVsYxH+h45lLiPzRVR70/lLYwW/VHxHGsxRHLmfh9TLsM:gGhTxFjwPp0/1YXJxHGsxIn |
| TLSH | T1C713026D27D6E41587DCC517A3FCDB4396270EE80DE480C189A1E1BC09AB80DFD9B18E |
| 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/help/glmnet.rdx |
| FileSize | 418 |
| MD5 | 161B7F1E3A1A461223B7FD7EB8C18B47 |
| SHA-1 | 3B1CFF5291EB054246742588CA8EA741B25262C7 |
| SHA-256 | D30BCF7F871EF9D85D1E6C4FBE60BA816DC8784672C6AF22B97D410D5D7CE364 |
| SSDEEP | 12:X/c2cfyl2iiRjl8NUdwPo2M+epj6KH5EkNSiI:X/nl2ii9lByhMLtNNTI |
| TLSH | T133E0FA5584CD5531C4FCAF3414D141124F1DF72BE231C70570546D57DA4F63E16D45D2 |
| Key | Value |
|---|---|
| FileName | ./usr/lib/R/site-library/glmnet/help/glmnet.rdb |
| FileSize | 57975 |
| MD5 | 9EE96015F3E53F7F77C6C03E519E4506 |
| SHA-1 | 3CB4C4A3367DACA9913C1F1279F3BFCB13AEC480 |
| SHA-256 | 8A3F3D92C5C08858DD1E84F633501A82C57B80BF1DB739F41142D81B64728913 |
| SSDEEP | 1536:2GNhODLvEveBLAMmIf0hksXQX1ZjaQNEVjXw7NybVoy:2qm8wkMZ0hk39NEVjXCNyb/ |
| TLSH | T12B4302B731EA86590D4A8D525BB5CDF0C1E9950139A1E35F8FB4D9D28BC184F83392CD |