Key | Value |
---|---|
FileSize | 1573324 |
MD5 | 3CFDBA7DE5B7FFE3D0AF9A08F4EE70CF |
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 | DE55CF707F0A1260DE162CED023858D16EAF3836 |
SHA-256 | ED61A077F6F95DB76C807A121AD722EC6A9D4268330DF4CFE59307B78371D414 |
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/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 | 1085 |
MD5 | 5FA0AE51E40C4BC1B3BEFA38C4A3B4BB |
SHA-1 | 09903DE97F371B11C5648F39A10D0F7EF862FD33 |
SHA-256 | B3C98CFACA275E160B747E43D9C1F3C9D949B4EC3517962CE680C8E5758DA290 |
SSDEEP | 24:X4D64EGTWclirDoi83HnctLWmko9knt4cfVsaquVtzNfHcP2zUDphn+G:X4pAXol3HctLW9Okn2cddNtzNa2qjn+G |
TLSH | T13B11B6B473A46D09D2B55D7B9855B3ED8BBAB38605FD6E2428E70095B9D8C21087088C |
Key | Value |
---|---|
FileName | ./usr/lib/R/site-library/glmnet/help/glmnet.rdx |
FileSize | 417 |
MD5 | 891D5603A427B972BBAC01EEF24C40EC |
SHA-1 | 09EB3BECA9C0D9DA5D9F22E5732B2F7CD2C8F52E |
SHA-256 | B97AA0BD8EA73FE73809508628CC5EA9FCA407569597B844C563617E481EB747 |
SSDEEP | 12:X/4oG0j1qJWA6DGfQK3h+dTIIOIg2un9l:X/4V0gglDGfB3h+CXl |
TLSH | T1ADE0A3719959457D5D1C3FF650D0684446557E648D128153C6CB3917C58827D21950D7 |
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/glmnet/R/glmnet.rdx |
FileSize | 908 |
MD5 | 6CF50F775C03A01138D3EE3F9788BF3E |
SHA-1 | 1790BEA3B376EA8D2042186362D45774C92BCB63 |
SHA-256 | E41EF56AAF5C814708808BA166E9BDD9A65334F8D687D2E381BA0515D7645409 |
SSDEEP | 24:XcY44SqVSWEwltqBWCEn4hfedEYM1wWcOrbl3b7S3FX04:X34QVMwqBWCE4h+EY6cIbFHwFXr |
TLSH | T1C511B7859071C9829AD8E2B9BC322BCDF02811E407003F58F1953534A50723EC3BDA28 |
Key | Value |
---|---|
FileName | ./usr/lib/R/site-library/glmnet/help/paths.rds |
FileSize | 219 |
MD5 | 6586F99C037D9DFCB37BA87BA0409A72 |
SHA-1 | 1A078037C8F634C0B5309CC893ACF672C64216C8 |
SHA-256 | C101D224D05B592FF6014873E432007CD19B2C20098EE04B2DC08ECD1FDEE23E |
SSDEEP | 3:FttRmLIzd/j9iPPLv5ZKm2CEY6YNzH64Vl3QL0t5YAiyh2RwiTDqmrvoldSWn:XtsLAUtZKzYN/t40XYAjSPqmDEn |
TLSH | T17FD023794400041EEC4143300FD0018B5F5571F14D1E7E6306881473D6151BA07D2A54 |
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 |