Result for 34B4FC58930F38E1A2F10E696B36BA399D50F96E

Query result

Key Value
FileName./usr/lib64/R/library/quantreg/help/quantreg.rdb
FileSize233663
MD52B04BAE5522C145962D05488D2F973FB
SHA-134B4FC58930F38E1A2F10E696B36BA399D50F96E
SHA-256F4E7ADA91A269D10B5C6A6F13BFFE15A9E777A7D77418B1691418D05EC0BA484
SSDEEP6144:XmJAN6mGsQBalbr1MW/DU0aEr88dgBLypfvPD6/6:26hwIlbr1MW/Lab8ee96/6
TLSHT1FB342264F1076A3BBEB8291FD58B258BCA6312B9F365731ED049DF2879CD02B81054F6
hashlookup:parent-total13
hashlookup:trust100

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Parents (Total: 13)

The searched file hash is included in 13 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5093A9CFE3E8188C4292B95788010B697
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
PackageRelease1.19
PackageVersion5.36
SHA-1D8A396676E30EC6F79BE20BF01D713885E470BF9
SHA-256B540AEF306FD8C44EAACE8E866928414E1E407E7FD483F7F445C781044C020F6
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
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
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
MD5AFD2138D7952E2692E093F07AF249105
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
PackageRelease1.6
PackageVersion5.36
SHA-1A5ACEED13499ACF1380E1970A13D1BD00C96C69B
SHA-2569A5D5F685A783BC7D472607A9A7BB830AE05CE9688E43228D98FA1333B909118
Key Value
MD5B70116E48BADF8208AE9787CE2B8220C
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
PackageRelease1.177
PackageVersion5.36
SHA-1FBCF484E65158CCE907CB49CE694CF268CDECFD7
SHA-25654E51F6EB9DFA81506EBE54A0E5DA22A9032CC5CB2B50D8DBD25BC9CC6F765CD
Key Value
MD52C2FF3381AA753C22585316354BC4810
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
PackageRelease1.177
PackageVersion5.36
SHA-147BA92353C99BE0E4061A123427B9F9A1739EAFE
SHA-25667C6209B4312C6FC63999F76F4CBC2DDCA6DA969BC0F1ED3BC8585C74FEABD3C
Key Value
MD5EADA30856015D4DFD7FF180431D7F566
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
PackageRelease1.15
PackageVersion5.36
SHA-1EDEB4FE5086D8C527C5F6420EE93926211328D75
SHA-256BB15F924BAF6044A12E0D403E2F9C53E5D5A36191D6DF70CB9A9A80E71A80E4E
Key Value
MD54C94491F8AE1011C3E9D4ABE2AE69502
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
PackageReleaselp152.1.14
PackageVersion5.36
SHA-1A0A8018133F574FA32462CEAAAB37253E7A8CB89
SHA-2564DFB442938F974912B25DD122E4548C4B26A0DA835236EDAA55280344747C1D4
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
MD59EF30542DB23D451D73524FB15EE6538
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-1732E37006ED984AF367C44AC859BA1AA33CE01F9
SHA-25671B2E312E736ECD3311CA03734BB3CDFD5B7828D1E4AB330E67C32AA32B9C808