Result for 0AE420EC2A74824FD0C2076D6FD42BCF6E432F76

Query result

Key Value
FileName./usr/lib/R/site-library/LearnBayes/doc/BayesFactors.pdf
FileSize138575
MD530C91A87CC025913CF7E35E3E0B2F583
SHA-10AE420EC2A74824FD0C2076D6FD42BCF6E432F76
SHA-2567B0CB0E84D9585D2390934601110D874B0C2552C9F21A77E63829512788F2008
SSDEEP3072:Gz8CRbVYQHe5kArYQBtLyLyigerQKt78CvmAj6:Gz8C9WLqGtLyLyi1cKinS6
TLSHT11CD312903B1E5E0CEE6B4218D9DC069730CF8790590D5A3B316A000B775DFA9EEB5BE9
hashlookup:parent-total4
hashlookup:trust70

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Parents (Total: 4)

The searched file hash is included in 4 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
Key Value
FileSize1075310
MD5B87A57C181ADDCBAC4D16768D03FB6EC
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.
PackageMaintainerDebian Science Team <debian-science-maintainers@lists.alioth.debian.org>
PackageNamer-cran-learnbayes
PackageSectiongnu-r
PackageVersion2.15-3
SHA-182C9AFDAEFDFF4A571CB998E386EE23DE74B7143
SHA-256A5E09CFA2DCDAF71777814014B5EEF88C9CCB05B9EA3FEC1E0579609F63C156A
Key Value
FileSize1075274
MD557E3232200B3CDE54950B0E8E1F0F528
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
PackageVersion2.15-2
SHA-1A87C3FBD39194D24D38B7D285C92C61507BF6677
SHA-256F300F982F130847EADA34199305F377E39CFCC9886102B042AA94E96470C4900
Key Value
FileSize1075594
MD5086E6D1F1FEEBE995F81140A6B864339
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.
PackageMaintainerDebian Science Team <debian-science-maintainers@lists.alioth.debian.org>
PackageNamer-cran-learnbayes
PackageSectiongnu-r
PackageVersion2.15-2
SHA-14E6407F72080C0CABB9AEFA245CABD6FF35A0F18
SHA-256E77568F7C15F1EB46B0DEED207FCFDF0A4F116AB5D2904341E17EBF547CF87CC