Result for 19FA1006AF0F11FEE1D73CACB36AF1D18BF11C90

Query result

Key Value
FileName./usr/lib64/R/library/quantreg/libs/quantreg.so
FileSize160624
MD55DE09D2A3FEB3101462F64B0E2DD2C8D
SHA-119FA1006AF0F11FEE1D73CACB36AF1D18BF11C90
SHA-256E9493A00F7899448DF3A3081B951AC9F3BA43E24EA13006A765487B919E1C553
SSDEEP3072:W71TpVBW6MsNxk9UBpj+R7nnFUS7vXCOnVVyjNK/Bkp4pD/ja9:W71TptLy9qpjqNTlnyNK/RpD/ja9
TLSHT1BDF32A5BF5A208ACC5D695B053367613BA30785D932C7A376B81DE302BBBF102D5BB12
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD50831899D0BAFB620A8AD82DED2F7436E
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 now included. See Koenker (2006) <doi:10.1017/CBO9780511754098> and Koenker et al. (2017) <doi:10.1201/9781315120256>.
PackageNameR-quantreg
PackageReleaselp154.2.1
PackageVersion5.86
SHA-1775B0CAA73653E1CF4F2590032653B6BF8DEF5C7
SHA-2567B2A56C490E5ABB7443949713B7942C6C733CC4A44B572C1AF04E904F0BB0A9F