Result for 06BEC18E0A40C0F34536B62A7DD8B451284A6454

Query result

Key Value
FileName./usr/lib64/R/library/quantreg/R/quantreg.rdb
FileSize396297
MD589A6B0A6661012F0902EB27779FB690F
SHA-106BEC18E0A40C0F34536B62A7DD8B451284A6454
SHA-25612A9A7C066FEC78955419C54556F823E4AA4EBA6C7C3CAABB1C045488E7A2F40
SSDEEP12288:CBNqUtD/kePF+g4yls+axS3wGclBruCWOsJj:oAUtD/kePFoyljaxSgGEru7Jj
TLSHT11084233EE7608A60A261D40F412CA5C9D01CBB598F45DCF270F2E9E06C39D64EF93B66
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
MD5981E3FE0B1ACE969C1DDF0996A8A43A0
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
PackageReleaselp153.2.2
PackageVersion5.86
SHA-1BF1362FCE9828F553906B7798D91B2EBE490327C
SHA-2561F2354574F1B52607930E96AB17BF8EBEF8D9422FB91195F37190AC211DA73F0