Result for 0CA7D571CF1CEACDB88350BD5856B678835A3390

Query result

Key Value
FileName./usr/lib/R/site-library/LearnBayes/help/LearnBayes.rdx
FileSize2167
MD52F3B6C7E683EA28C6ED2980E6BC9DD7D
SHA-10CA7D571CF1CEACDB88350BD5856B678835A3390
SHA-256A8FDDB1802AB927B18691A51BEE194B53DCAB4B03EB5E2923DA4BFF61311324C
SSDEEP48:Xls+7bwDJdKRVus3DSYG5juLFlbyzTJnUsiAk468GI1n4TRUbc:1s4Gdiuiqj8ufJnMAk+GI1jc
TLSHT19C411A96A3D84F424262AF7E9B0FE0A00092C94410070AD5CB773E255F8F18E6122922
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
FileSize1075912
MD57364AD7284DE63C1C319D645D7E55A07
PackageDescriptionGNU R functions for learning bayesian inference LearnBayes contains a collection of functions helpful in learning the basic tenets of Bayesian statistical inference. It contains functions for summarizing basic one and two parameter posterior distributions and predictive distributions. It contains MCMC algorithms for summarizing posterior distributions defined by the user. It also contains functions for regression models, hierarchical models, Bayesian tests, and illustrations of Gibbs sampling.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamer-cran-learnbayes
PackageSectiongnu-r
PackageVersion2.15-5
SHA-185D8E0EE4191B143E4025F00524F3CF6CA59DD51
SHA-256191BA3172E736D8A1972BBEBE2745DE6F391024E9A1DC6525E56640E2563E51B