Result for 0DB12B046646F2A00774DF79A539293D586F60FE

Query result

Key Value
FileName./usr/lib64/R/library/quantreg/R/quantreg.rdb
FileSize396296
MD5E74F8CE28CDBDB00CF98CEC0DB74D764
SHA-10DB12B046646F2A00774DF79A539293D586F60FE
SHA-256DEE5D2796F208FED5C03BC31C5F3A297AE7FD1CCD711F05925877B4923C8A918
SSDEEP12288:oNqUtD/kePF+g4yls+axS3wGclBruCWOsJj:oAUtD/kePFoyljaxSgGEru7Jj
TLSHT17B84233EE7608A65A261D40F412CE5C9D01CBA58CB45CCB270F2D9E07C79D64EF93B66
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
MD55A7988BF946EEBF09E6DD56A0438902E
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
PackageReleaselp152.2.2
PackageVersion5.86
SHA-14DDCD2F4FEE5B0A63A7AB906D024C4F6AEFB618C
SHA-25610277A25A7B1C3DD740EFBB131A43A0255D34790E025F909A5D27538D890B4C8