Result for 56CD6BD10D0F9CB45C1D6C37F4D3D233E46EF875

Query result

Key Value
MD5913CA99019D6C21897051A4F8991C327
PackageArchx86_64
PackageDescriptionExtremely 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 regression. The algorithm uses cyclical coordinate descent in a path-wise fashion.
PackageNameR-glmnet
PackageReleaselp151.1.41
PackageVersion2.0.18
SHA-156CD6BD10D0F9CB45C1D6C37F4D3D233E46EF875
SHA-256C86A01688E6B2C7BB06E70980844BAD85E86EC8675BD45CC17CA7BF469198627
hashlookup:children-total39
hashlookup:trust50

Network graph view

Children (Total: 39)

The searched file hash includes 39 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/lib64/R/library/glmnet/Meta/package.rds
FileSize1137
MD51EB01E71BF53FFE75B478808827FDBBB
SHA-1109C108C1FB564D67B953A88BEF8946792B1E510
SHA-2562F4EE26CA1F7549470971F59756CEBA5E11501159D96E1CD9D43C5A5E1F1848E
SSDEEP24:XvsB8/qOtZhAUMAzmJs2/ckwlMG8A/mY+3EorctVN2bGezZkFY:XkBwnZoCmJZO1/mYE9reVN2diW
TLSHT1F221961551EC3889DFA41D577518727ED5B0D18082A0A349E3A529BE7D052650EE32DB
Key Value
FileNameusr/share/R/R/nspackloader.R
FileSize1058
MD5D6C68F1FE41CED6E98A766A3757313DA
RDS:package_id293685
SHA-112C0D3D6E3F5B5D749C93FECA122CBA34B466AB5
SHA-256570CA456B280CDEB201EF5EBDF22DC8F80092E2C0C68E33C7F73340E420F3759
SHA-5126824A8335BC36AF7808471FE603E2C4FC7B77BD08D61DF060B80444424563B0764DE87AAD8D6D20E926D02AA20E22528FFA8ED517AF5F35A01ACFA8BD2A90590
SSDEEP24:do2pvjejSRmcyAOkHjlnAgAcEWrwYahkB1OOV0Ea:d1jeuR5ysHju3cZVHC
TLSHT1FB1142886410D7FB6A0104853C4F22CDE31F6723729DA091300DD12F7B0DE7552F69D6
insert-timestamp1728198681.437601
mimetypetext/plain
sourcesnap:VCjprGsSZiPuV3CmQViE4TvPMKTOlaiL_119
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib/R/site-library/glmnet/data/PoissonExample.RData
FileSize77450
MD5C4F36770E60C6421603E9933930FEC06
SHA-113C1EC90F08B2E7F7196E4662C1F93A4B2CF28DC
SHA-25671CD6FC39631CFA8C9C773474EA5D2DC30D756BF41FFE1409F593DDD46073850
SSDEEP1536:UuxAxCWmLla8fFQTOWozC3dHZ313oVBqY4erET5iYkk/q8MXiXqRTQ+E0MhE:DxiC/LlaAQTXmw3T1kk/LkJ9E0MS
TLSHT1C0730281D81F02D6EA299D17C23C0DEEB8F162D0935A9E65594F836D43CA0327A1EF0E
Key Value
FileName./usr/lib64/R/library/glmnet/Meta/hsearch.rds
FileSize1110
MD586D1ACB24757A69E64BD23571238DCB6
SHA-11665100E45D775B4B1F13E68DAAF99F1C84413AA
SHA-256185D0759E1B14043BCD8F0518BAD92ED3095427EBC943C4A7AF8A60571E93A71
SSDEEP24:XxF5uSdgJcpG8v5uADWnIHFcnlS7ezR8z/npNpZvxYboHzjcTa3P:XxF5EcpG8On2QkwI/pZvNH8Ta3P
TLSHT1E311B954A14E47D3965AA77B6E8D90C372604A66FC8B1AFE6C7F130DC03D11CCB04150
Key Value
FileName./usr/lib64/R/library/glmnet/Meta/links.rds
FileSize564
MD536D51C47DB0265B5244773FA150C73A1
SHA-12343E303F084DBCD4E9EEB6C054465CF969CCFC3
SHA-2563138E6BB0C733734315C14238DDBB3E6924A9C953C1EDA66783F84E929D82534
SSDEEP12:XDr2XZtex6WjbfXGhgt8viNjtjgfwAkRV2LTdlS70NJxF:X32XZW9vGGtVNjQiRV23vNvF
TLSHT10DF041F81B13909AE4B622F9E605638230C850002141C3EB840009A5222C1BA207F0EF
Key Value
FileName./usr/lib64/R/library/glmnet/help/glmnet.rdb
FileSize59038
MD5BBDA16BC58986175C745A5A74387B8A4
SHA-12987FD5A46B94E024A2EED87075818EA4B1BD3DB
SHA-2563A7D20B6BE7CEDEFFF6C5F6013E3F6B93579D16A71885E11898B5E88BAD60721
SSDEEP1536:SihH1d10boCPeL0cX2dUo5b4sLlT3ufeqDwGwSTyONW4vIopVl:FXd6lPatmh5b/L93EetWWYWSl
TLSHT11F43F1DCC524A10845A88E194CA15E2424FF9055DDEABECFCD701BDE8ED3CE6F05AAD8
Key Value
FileName./usr/lib64/R/library/glmnet/libs/glmnet.so
FileSize248072
MD52ACFA5C07172C341FCBAC30DDAB0F46B
SHA-129AC1DA6EB727016FF5D9B87D3EA94859D280499
SHA-256E446E8352871A5F03454115AD1B589448AC6BE888DE8CB1E08B1239AD47CB7AB
SSDEEP3072:cZ4Abc602/Q+XP4dKeh04hL1jw3cLZIp8VdwLjqFD8usqb8+Q3+HviNh6Jvky52S:gbu2/2dH/jw30IUG/qp8kbquqiLIG
TLSHT1CB34EA43F4E284ECC4D6D974923BB023BA71784D813C6635AB85DE203BBFB14AA5B715
Key Value
FileName./usr/lib/R/site-library/glmnet/CITATION
FileSize1741
MD5C22D19C217BC163A2C38B84ADD608C31
SHA-13B1640E96FA63A738F7A872EB3FC9E3C07913FF6
SHA-2562C5229104D32B6623429BABBADA9D378B482F211115CEDA83E69753D647B3166
SSDEEP24:06n94OtiXnxYroUtg4Iv4XydAn94SEm6FtzXuWuvUtM4SEmtv4XU6:hFiCIQCmyXzNdmQt
TLSHT1B6318F07E20101312BBF436A6D914443F963877FEB4485AB71FC938E6F42B8592E67B1
Key Value
FileName./usr/lib64/R/library/glmnet/Meta/data.rds
FileSize262
MD5B4AD02B2ED33ACE121B2B2C3BB08492E
SHA-13FC25B28EE551B3DE8444B2CEBFBB53C15339E1F
SHA-25634912F52EA88257C8DE667CFE32C3E058B2AB762CFE280CF70C67AE1B11909FF
SSDEEP6:XtNnvNiIi+5F1P8yBjoGEII0aZxa09qA4O:XbnbP1AVV02
TLSHT15CD095D8051F51745F7D9EF007405DF0550DE08150572DFFD90424A629071E087FC30D
Key Value
FileName./usr/lib/R/site-library/glmnet/data/QuickStartExample.RData
FileSize16275
MD5BEAFFE6C0AE597F8803216E3BBD4A2D1
SHA-14780FEA382BAF1C0D07649391097DE0D4C7CC99E
SHA-25654772B53668F445FAE157BDAC055792F90164200FDF81DAB41D481D07020E82E
SSDEEP384:0MXz8GzUeowHK7zeIV6tfUWT7OHFRHjVRmOV0oNnH+IfiI9G3e+:0MXZzUSqeIV6tfhXO/DxV0oNBpF+
TLSHT1C972D030934A89239D41070C125FCE36CF60579761A1E2B6FFD335B242D77D509B1E66