Result for 052DBE25444F655F6CAEE74D264F9D31B3BD9A44

Query result

Key Value
FileName./usr/lib/R/library/LearnBayes/data/Rdata.rdx
FileSize548
MD5C8AC0406A4664FC75C3B6AAA0E4087DE
SHA-1052DBE25444F655F6CAEE74D264F9D31B3BD9A44
SHA-25665378A4DBFE5357340C0BCE3C1652A103C10FAA35104DBEABCF3E83A052E4B37
SSDEEP12:X3q7fpE32A+Emlp7mOQNZUDaA+1P+enePbhb6Glv1ELb3O/:X3quGrpGGDaRMCGnEG
TLSHT118F020A883A5E194DC5FA4B07744DF31A14BEF364CD9987203CAF1435D889B202286F6
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD586418BF5A63DBDE56810F5760C162BFC
PackageArchi586
PackageDescriptionA 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.
PackageNameR-LearnBayes
PackageRelease1.31
PackageVersion2.15.1
SHA-11FF3EB703FF5F059010D801B82C08FBCC20268F4
SHA-256B42334EA61BD9C45C383A7046AC9A34A4CB094AC0D19506301041EDB6B08675F
Key Value
MD58ECCAA5BCF2252D6561FCBC68665BADC
PackageArchi586
PackageDescriptionA 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.
PackageNameR-LearnBayes
PackageRelease1.29
PackageVersion2.15.1
SHA-1F4D5C8944603BB89B2DA6936B16CEB5561C74936
SHA-256185ACD6321FA7149E98120D6CD7D847E0E499EAA0DF9852167BA7A5446DD79BD