Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	981E3FE0B1ACE969C1DDF0996A8A43A0
PackageArch	x86_64
PackageDescription	Estimation 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>.
PackageName	R-quantreg
PackageRelease	lp153.2.2
PackageVersion	5.86
SHA-1	BF1362FCE9828F553906B7798D91B2EBE490327C
SHA-256	1F2354574F1B52607930E96AB17BF8EBEF8D9422FB91195F37190AC211DA73F0

Key	Value
MD5	7DFB935CCAC9A22AF35A1A8814254055
PackageArch	x86_64
PackageDescription	Estimation 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>.
PackageName	R-quantreg
PackageRelease	2.6
PackageVersion	5.86
SHA-1	09761D3FAFBC2E1B37CF30B9D6DA223D7DA1597F
SHA-256	3D4E0D692C63C54E9C190ED377807B5A1806FA6568E2767458CC6D60133B2690

Key	Value
MD5	0831899D0BAFB620A8AD82DED2F7436E
PackageArch	x86_64
PackageDescription	Estimation 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>.
PackageName	R-quantreg
PackageRelease	lp154.2.1
PackageVersion	5.86
SHA-1	775B0CAA73653E1CF4F2590032653B6BF8DEF5C7
SHA-256	7B2A56C490E5ABB7443949713B7942C6C733CC4A44B572C1AF04E904F0BB0A9F

Key	Value
MD5	5A7988BF946EEBF09E6DD56A0438902E
PackageArch	x86_64
PackageDescription	Estimation 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>.
PackageName	R-quantreg
PackageRelease	lp152.2.2
PackageVersion	5.86
SHA-1	4DDCD2F4FEE5B0A63A7AB906D024C4F6AEFB618C
SHA-256	10277A25A7B1C3DD740EFBB131A43A0255D34790E025F909A5D27538D890B4C8