Result for 200E08B0232C73D4870139A6CAE11BC5A725AF73

Query result

Key Value
FileName./usr/lib/R/site-library/LearnBayes/Meta/Rd.rds
FileSize3688
MD5D381E6A26C03A7AE0C1958162840CBC2
SHA-1200E08B0232C73D4870139A6CAE11BC5A725AF73
SHA-256B28D4F4AE1C6C047ACAE23D73BE7F827A03B694971AD068AF51536757CAD40A9
SSDEEP96:qqY+Z+leNhf7MY+WTUT0y/QUDhFIu1Nb09xQr54STml:qqXIUhfoYuX/QUNFHHY9xQrPS
TLSHT194715DF48CAC8F6F31947CB26637B6D4CD014041FCB90D5259E8C53865E5DE8DD31494
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