Result for 156CF6B107C5B7CED788D725AD9A30DD8CE146D5

Query result

Key Value
FileName./usr/lib64/R/library/quantreg/R/quantreg.rdx
FileSize2152
MD5C66192C6160CD96047B47A5E3E479259
SHA-1156CF6B107C5B7CED788D725AD9A30DD8CE146D5
SHA-256F2B3821C58B0357CF8A9BCEC0C61001A23AAA182D1E403F6F2B08236B9D9D693
SSDEEP48:XmjbOnbrXyj9Wu4XivQNS2TELlH5OHHSNXoY:8g/XyjgG4NS20p52HSNXj
TLSHT11E413C27F5E6FA92106FC6327E4A165F31FC8FA24D439A1AEB957A00449E0460FFF454
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