Result for 309F070D1BEAD1325DF0CBF945AEDC5346B9BE5E

Query result

Key Value
FileName./usr/lib64/R/library/quantreg/Meta/nsInfo.rds
FileSize1120
MD53C931F4A0209E8E4CD87AB097D9D3C2D
SHA-1309F070D1BEAD1325DF0CBF945AEDC5346B9BE5E
SHA-2566B8DD65D14A1016ADEA3B8B16785D60745F6319F32C262C82F5F03E226D2A907
SSDEEP24:XudiOAzLenwcUqjaGyL6pdrFIPon08IQXYiSwOAENHp+2P347NehmQ205mmmtVv:XuXwcDjaGbOP2eEYmOAENwiAg7ZmDtVv
TLSHT11A21B6B9E023D112BD5CB29C1AFCA12865110EF7311901F8D49969822DF56BB373AB80
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
MD585E6E8FA5BF8DAA087DF0B7FBF03BF3B
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 included.
PackageNameR-quantreg
PackageReleaselp152.1.19
PackageVersion5.36
SHA-1B36AD98A825B477E6B06B05DDB4CE67A4B9FC932
SHA-256BC803B9ED106B28290EC65EB807875E9239D5EF4A0C5474AED94F238BF123AD7