Result for 5609EDC30B703A92C4E17463B3BF122212F26699

Query result

Key Value
FileName./usr/lib/R/site-library/quantreg/TODO
FileSize431
MD54B949300E47E3048F24FF664431023D7
SHA-15609EDC30B703A92C4E17463B3BF122212F26699
SHA-256BA4279CC8F8E0C75E38A76C3037CDD00880A3524200E3A55BD3AA13FEA8CB66E
SSDEEP6:SIe4sQ+dVWS6vQRXdu1cXenOt7KoMdgUkz4o5RMdEUrUU4oA+XA2Dv+sl+sHlL+L:VITVQvQRXU1MpyixE4+DGsYsFiMFMtn
TLSHT137E0AB2EBB8B362F157243A09548C5D3F97DC70BE6EA5602E438C3A425C80A9FD49028
hashlookup:parent-total26
hashlookup:trust100

Network graph view

Parents (Total: 26)

The searched file hash is included in 26 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5DFAAA779ED19E5617C535EA0D7D55FDD
PackageArchi586
PackageDescriptionEstimation and inference methods for models of conditional quantiles: Linear and nonlinear parametric and non-parametric (total variation penalized) models for conditional quantiles of a univariate response and several methods for handling censored survival data. Portfolio selection methods based on expected shortfall risk are also included.
PackageNameR-quantreg
PackageRelease1.177
PackageVersion5.36
SHA-10B64F1CFA9E06A7763283BBA39998A45EDB9F27E
SHA-2561DE40EA0D18179E417DA8F34FB319A80472F9EDF4C084251EE3930B919B1B4A6
Key Value
MD5A7193F3B512C91417696FB9BCEA35416
PackageArcharmv7hl
PackageDescriptionEstimation and inference methods for models of conditional quantiles: Linear and nonlinear parametric and non-parametric (total variation penalized) models for conditional quantiles of a univariate response and several methods for handling censored survival data. Portfolio selection methods based on expected shortfall risk are also included.
PackageNameR-quantreg
PackageRelease1.173
PackageVersion5.36
SHA-10BAB959B155A78175DD281648B1DB35FD9DD809E
SHA-256C263CC36DC2FA09079BDAC53CB1C59413F8D07592AF96B08CA95251FC8AF4557
Key Value
FileSize1781500
MD5FF4765A85B291876173C74AFA5934E38
PackageDescriptionGNU R package for quantile regression The quantreg package provides quantitle regression and related methods.
PackageMaintainerDirk Eddelbuettel <edd@debian.org>
PackageNamer-cran-quantreg
PackageSectiongnu-r
PackageVersion5.29-1
SHA-10C799CFAA476EA88D125723E45D22B733784620C
SHA-2568077A50450A47DA73E8A6F1430E943CE257D2EA17C6738EA1FE617FEF58677E1
Key Value
FileSize1779694
MD5330492C8BB2EAD87CA68F568A0CAB71C
PackageDescriptionGNU R package for quantile regression The quantreg package provides quantitle regression and related methods.
PackageMaintainerDirk Eddelbuettel <edd@debian.org>
PackageNamer-cran-quantreg
PackageSectiongnu-r
PackageVersion5.29-1
SHA-11ED9482735EFF644EAD2A18C55E7D63B000F0BEF
SHA-256EA89B3EEE0D1FAAE7FED891E597F29E25D6129A213FFED903026E60F20741D86
Key Value
FileSize1777052
MD5D8CF6595F5C5764FCD3F5B29CAD1057E
PackageDescriptionGNU R package for quantile regression The quantreg package provides quantitle regression and related methods.
PackageMaintainerDirk Eddelbuettel <edd@debian.org>
PackageNamer-cran-quantreg
PackageSectiongnu-r
PackageVersion5.29-1
SHA-126AD4C80150FAF27156C5DC9D490B70D0193DCFE
SHA-2563D1DAA3A420CFAA79DFD241CB8E88FC609596E6346A33988292D5588DEDD623D
Key Value
MD5194DD2F9107A3F2DB0B9409EA1101C36
PackageArchx86_64
PackageDescriptionEstimation and inference methods for models of conditional quantiles: Linear and nonlinear parametric and non-parametric (total variation penalized) models for conditional quantiles of a univariate response and several methods for handling censored survival data. Portfolio selection methods based on expected shortfall risk are also included.
PackageNameR-quantreg
PackageReleaselp153.1.14
PackageVersion5.36
SHA-13254092E8B57195C84F4044F841957DDEEA01158
SHA-256CB1DE300CCDA726CFAF13FE87117661A158EDB780EE88008B1419829A85444D3
Key Value
FileSize1677716
MD512BDE28487F54F985031EBEAB40BD983
PackageDescriptionGNU R package for quantile regression The quantreg package provides quantitle regression and related methods.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamer-cran-quantreg
PackageSectiongnu-r
PackageVersion5.35-1
SHA-137A722FC763B570FFE100074E05EC766D101EB47
SHA-256CDF093495F4626D5917DE6FFAA1A1D5462B898503655BD6D20BEAA5DA2248972
Key Value
MD562C2F328D8842D290A6A25168296EEFC
PackageArchx86_64
PackageDescriptionEstimation and inference methods for models of conditional quantiles: Linear and nonlinear parametric and non-parametric (total variation penalized) models for conditional quantiles of a univariate response and several methods for handling censored survival data. Portfolio selection methods based on expected shortfall risk are also included.
PackageNameR-quantreg
PackageRelease1.26
PackageVersion5.36
SHA-13E654120C573EDE09D1AE2433A29C4947A09C9B6
SHA-256D05857A8165536F60B8FBCE7FAB568AB23685449C5044E8F779569AA1AF0BDC3
Key Value
MD54A28CEDA34687F24C529DDE100A6A4FE
PackageArchx86_64
PackageDescriptionEstimation and inference methods for models of conditional quantiles: Linear and nonlinear parametric and non-parametric (total variation penalized) models for conditional quantiles of a univariate response and several methods for handling censored survival data. Portfolio selection methods based on expected shortfall risk are also included.
PackageNameR-quantreg
PackageReleaselp151.1.62
PackageVersion5.36
SHA-144BF6D1195F10B35B717B61093664DB80B8F45B4
SHA-256EAD12EAC9F6EEEDCCA1BFBE5DE56C9E11B8657445B20D931593C1A2A3F57FE72
Key Value
MD5F30DBC321B6308FFD8F96F4CE0F644A2
PackageArchx86_64
PackageDescriptionEstimation and inference methods for models of conditional quantiles: Linear and nonlinear parametric and non-parametric (total variation penalized) models for conditional quantiles of a univariate response and several methods for handling censored survival data. Portfolio selection methods based on expected shortfall risk are also included.
PackageNameR-quantreg
PackageReleaselp150.1.24
PackageVersion5.36
SHA-1475E1C20645024104847909DCC45619D9B3F5936
SHA-256DD89C7F9CED60AE0D48FCFA6C167EEDB6D2AD5D426FC95E076AED24F38D045B2