Result for 00AE68266439068A14DDF0A322F752188E0CD8FF

Query result

Key Value
FileName./usr/lib64/R/library/quantreg/R/quantreg.rdb
FileSize396298
MD565D157D431BA70A67D38565028145592
SHA-100AE68266439068A14DDF0A322F752188E0CD8FF
SHA-256BD10A35D05F6A3386B68252E4B84BEACEC192D374CC71B74D2D6D45724AA4DDF
SSDEEP12288:DNqUtD/kePF+g4yls+axS3wGclBruCWOsJj:DAUtD/kePFoyljaxSgGEru7Jj
TLSHT12E84233EE6608A60A261C40F412CE5C9D01CBA558E85CDF270F7D9E07C79E64EF93B66
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