Result for 3EA43631F9DE6A25EE43B8F4BC311876CE4612C3

Query result

Key Value
FileName./usr/lib64/R/library/MasterBayes/Meta/features.rds
FileSize131
MD5B86D4B4E58D4B9DE57F0E325B7FAF4D8
SHA-13EA43631F9DE6A25EE43B8F4BC311876CE4612C3
SHA-2562A0F23D7B99E29349A0FB677F557A69EB3622CA44A891A2B9C569306D13AE8C1
SSDEEP3:FttVFDorDjVCfiIxmSfgLgLX3HLZJcvHRmeX3F4jum+1t:XtVFOjofihlLgLX3Vu0KC01t
TLSHT118C02B01D77220B5C0E8013047EF0CC0543CB80412EC049E2035704030000B54D49934
hashlookup:parent-total26
hashlookup:trust100

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Parents (Total: 26)

The searched file hash is included in 26 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5BC35B1FBDDCB7AFFC6395826E52FB3BE
PackageArchx86_64
PackageDescriptionMany relevant applications in the environmental and socioeconomic sciences use areal data, such as biodiversity checklists, agricultural statistics, or socioeconomic surveys. For applications that surpass the spatial, temporal or thematic scope of any single data source, data must be integrated from several heterogeneous sources. Inconsistent concepts, definitions, or messy data tables make this a tedious and error-prone process. 'arealDB' tackles those problems and helps the user to integrate a harmonised databases of areal data. Read the pre-print at Ehrmann, Seppelt & Meyer (2020) <arXiv:1909.06610>.
PackageNameR-arealDB
PackageReleaselp152.6.2
PackageVersion0.3.4
SHA-1029BADABB20FAE9B38DCA7F9220BC47CD6E01B6F
SHA-2561F47CC2BBD0EEC7F9F16662AB9E4E11E18F22BB960AC76CEF6B3BE62DF8805CF
Key Value
MD53284F1D4DAB6E6491E17BCA4F1CF5C09
PackageArchi586
PackageDescriptionThe primary aim of MasterBayes is to use MCMC techniques to integrate over uncertainty in pedigree configurations estimated from molecular markers and phenotypic data. Emphasis is put on the marginal distribution of parameters that relate the phenotypic data to the pedigree. All simulation is done in compiled C++ for efficiency.
PackageNameR-MasterBayes
PackageRelease1.493
PackageVersion2.53.1
SHA-10AD317659BB917B5D9B0197A062EE9DE87B61990
SHA-256793F603DD47963BB7051844984AEC2E0278CEF8F1A9B011055F1C5EB8CE5CF29
Key Value
MD515761FE673940B6D09404CB78DCCCD3A
PackageArchx86_64
PackageDescriptionSyntax highlighter for R code based on the results of the R parser. Rendering in HTML and latex markup. Custom Sweave driver performing syntax highlighting of R code chunks.
PackageMaintainerFedora Project
PackageNameR-highlight
PackageRelease6.el8
PackageVersion0.5.0
SHA-10F956828993AE5296218E4A80608EEAB9D025C3D
SHA-2562E9872220A338D03EF178BE16AA43621F4704DF4C0650ECE8A786141D1C1CF04
Key Value
MD50F1BD1705E7CA5DF912E45963A5DF392
PackageArchx86_64
PackageDescriptionThe primary aim of MasterBayes is to use MCMC techniques to integrate over uncertainty in pedigree configurations estimated from molecular markers and phenotypic data. Emphasis is put on the marginal distribution of parameters that relate the phenotypic data to the pedigree. All simulation is done in compiled C++ for efficiency.
PackageNameR-MasterBayes
PackageRelease1.493
PackageVersion2.53.1
SHA-11352AAF532112C48EA845C7E34C3F52897B691B4
SHA-256ACE5D4075E1209243DF023A40EB6C771A64AD2C5252B2C7115494BADD6F3EF6A
Key Value
MD5F4D4FDA067F8FEF1BD8707CF437B0DDC
PackageArchx86_64
PackageDescription[b"Provides an interface to the C implementation of the random number\ngenerator with multiple independent streams developed by L'Ecuyer\net al (2002). The main purpose of this package is to enable the\nuse of this random number generator in parallel R applications.", b"Fournit une interface pour le programme de generation de nombres aleatoire\nen C developpe par l'Ecuyer et al. (2002) avec divers options independantes\nL'objectif principale de ce programme etant d'autoriser l'utilisation de ce\ngenerateur de nombres aleatoire en parallele avec un programme R."]
PackageMaintainerFedora Project
PackageNameR-rlecuyer
PackageRelease8.el8
PackageVersion0.3.5
SHA-1299919C0425268EF0FE3C486324958DEE9FBFAA4
SHA-25655BD72FBB983A83D6FFB61ADD2E55DCF49893A6A6D9FF4B5BA14ACDAAC4B7250
Key Value
MD55880CF1F40FFD66A5FCE466C56175BB3
PackageArchnoarch
PackageDescriptionR functions implementing a standard Unit Testing framework, with additional code inspection and report generation tools.
PackageMaintainerFedora Project
PackageNameR-RUnit
PackageRelease3.el8
PackageVersion0.4.32
SHA-14A43CCE361AC2A9BF23E0C675F73D50DB264C2EC
SHA-256B3AB314EC38AD64C5A90D4237B28AF9D243DA8E57C562AEAFB455E715A6B6C46
Key Value
MD58EF23D35750FFE85365AC0672FDD0B15
PackageArchx86_64
PackageDescriptionA scripting and command-line front-end is provided by 'r' (aka 'littler') as a lightweight binary wrapper around the GNU R language and environment for statistical computing and graphics. While R can be used in batch mode, the r binary adds full support for both 'shebang'-style scripting (i.e. using a hash-mark-exclamation-path expression as the first line in scripts) as well as command-line use in standard Unix pipelines. In other words, r provides the R language without the environment.
PackageMaintainerFedora Project
PackageNameR-littler
PackageRelease1.el8
PackageVersion0.3.13
SHA-154F421B66C28A6F6E03DD93FDA1359816A4192FD
SHA-256C20BDE0C54064D7A6EF1039C6353893E26E53199593CD61AFCE24C0CC6CF99AD
Key Value
MD50A4152619597E4055D61D4E08C36C41D
PackageArchx86_64
PackageDescriptionThe RInside packages makes it easier to have "R inside" your C++ application by providing a C++ wrapper class providing the R interpreter.
PackageMaintainerFedora Project
PackageNameR-RInside
PackageRelease5.el8
PackageVersion0.2.16
SHA-15FB6CF66F856228C39C860C754E1ECA685BEF0CA
SHA-256BB4BDBBDE3D9B76D863578F2F5E467F2E8F40400EFC603112CA76321453BC49D
Key Value
MD55C414FEF13AC7CEE3BD1D6C999A310C7
PackageArchx86_64
PackageDescriptionSets up and executes a SelAC model (Selection on Amino acids and codons) for testing the presence of selection in amino acid or codon among a set of genes on a fixed phylogeny. Beaulieu et al (2019) <doi:10.1093/molbev/msy222>.
PackageNameR-selac
PackageRelease5.3
PackageVersion1.7.5
SHA-16C193D7B7746B16ACBF9341B42C65D9C913179C4
SHA-2567529D2AB6CA296C931C61BE205BD25DE6A5756933104941602FADDE0DAFB87CF
Key Value
MD58C7A90CFF1E49ADAD1E561AB22392D42
PackageArchx86_64
PackageDescriptionThe primary aim of MasterBayes is to use MCMC techniques to integrate over uncertainty in pedigree configurations estimated from molecular markers and phenotypic data. Emphasis is put on the marginal distribution of parameters that relate the phenotypic data to the pedigree. All simulation is done in compiled C++ for efficiency.
PackageNameR-MasterBayes
PackageRelease1.493
PackageVersion2.53.1
SHA-175BE0472F0FF2A84EB8E8811DD98A90881BE872B
SHA-2566610F8C0549138E7B83F0C6AD9AB133A4FDFD76E531924C59BCF2122D23F3F28