Result for 4BC99FFC0910C3BC5EB96D32A163FA1BD3947BCB

Query result

Key Value
FileName./usr/lib/R/site-library/quantreg/NAMESPACE
FileSize2985
MD50049C7C3B3BD0184B258C2652DF17244
SHA-14BC99FFC0910C3BC5EB96D32A163FA1BD3947BCB
SHA-256488CE9293CF05E9426BB5288AEF73A328477D783AB5F81B2BA898865ED3063E5
SSDEEP48:zdTcgzUqHuOfOvKcWt+Z2f/g2qXO4c1abgTf6VMoJ:JcgYunfgKcWtXnJqXO4c1agTf6Vt
TLSHT1C2512329D0E30A07EACDF76CB150158EA513C91DA5537CCAEE28363A87DE45DD0E390B
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
FileSize1919088
MD5D79C062C45851B52F7E4C2808F7465D4
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
PackageVersion5.38-1
SHA-1044373930AEC7D6646BDE6B692B11BEE5967E5C9
SHA-256816FBFC0F6DB206E9125B49F952A69A3FD15ACB8CD76FE51D69AF80219066C04
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
FileSize1911696
MD5896D69A56E7C728E8200D8B0666298BA
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
PackageVersion5.38-1
SHA-1113D2960D84FA7DA1E481AA0EA2DC040371AAEF9
SHA-25626C8CE841E032088B2BF275E28F6CD381A1E2A46C45176386546BA2B9E3625A1
Key Value
FileSize1923540
MD56EBADC8E66DCFC2BA2B3605C92A470B2
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
PackageVersion5.38-1
SHA-1147E75AEDFABC6936CAE79C86D7C0BA4CACEC5C2
SHA-2561F5531BD63F365CE286370E026BC4F3A561A5B217B21760A44A36580CA75C361
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