Result for 22C4CD16C31E6F818D93F0808DA53ADE73060C6A

Query result

Key Value
FileName./usr/lib64/R/library/quantreg/DESCRIPTION
FileSize3343
MD58741A03BC4EE363725C98C86A15361B9
SHA-122C4CD16C31E6F818D93F0808DA53ADE73060C6A
SHA-256D65CD5638B6DB3ED0AD43AF0B29814F108215AA94D14C23FA99C00CDC4531740
SSDEEP48:gAFp7XdMWt1XVawTXaI+StxE3m33HAkNfLLJHUdxuXo9vJaI5sD/1G:gy7XdMWt1XU+PPE2gKfdogY9ht5e0
TLSHT1BE619431A8400B91739F9311BA430502BA72E11E7784267CBE17166C2F4CE2DD3B3B8E
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
MD57DFB935CCAC9A22AF35A1A8814254055
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
PackageRelease2.6
PackageVersion5.86
SHA-109761D3FAFBC2E1B37CF30B9D6DA223D7DA1597F
SHA-2563D4E0D692C63C54E9C190ED377807B5A1806FA6568E2767458CC6D60133B2690