Key | Value |
---|---|
FileName | ./usr/lib64/R/library/MasterBayes/Meta/features.rds |
FileSize | 131 |
MD5 | B86D4B4E58D4B9DE57F0E325B7FAF4D8 |
SHA-1 | 3EA43631F9DE6A25EE43B8F4BC311876CE4612C3 |
SHA-256 | 2A0F23D7B99E29349A0FB677F557A69EB3622CA44A891A2B9C569306D13AE8C1 |
SSDEEP | 3:FttVFDorDjVCfiIxmSfgLgLX3HLZJcvHRmeX3F4jum+1t:XtVFOjofihlLgLX3Vu0KC01t |
TLSH | T118C02B01D77220B5C0E8013047EF0CC0543CB80412EC049E2035704030000B54D49934 |
hashlookup:parent-total | 26 |
hashlookup:trust | 100 |
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 |
---|---|
MD5 | BC35B1FBDDCB7AFFC6395826E52FB3BE |
PackageArch | x86_64 |
PackageDescription | Many 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>. |
PackageName | R-arealDB |
PackageRelease | lp152.6.2 |
PackageVersion | 0.3.4 |
SHA-1 | 029BADABB20FAE9B38DCA7F9220BC47CD6E01B6F |
SHA-256 | 1F47CC2BBD0EEC7F9F16662AB9E4E11E18F22BB960AC76CEF6B3BE62DF8805CF |
Key | Value |
---|---|
MD5 | 3284F1D4DAB6E6491E17BCA4F1CF5C09 |
PackageArch | i586 |
PackageDescription | The 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. |
PackageName | R-MasterBayes |
PackageRelease | 1.493 |
PackageVersion | 2.53.1 |
SHA-1 | 0AD317659BB917B5D9B0197A062EE9DE87B61990 |
SHA-256 | 793F603DD47963BB7051844984AEC2E0278CEF8F1A9B011055F1C5EB8CE5CF29 |
Key | Value |
---|---|
MD5 | 15761FE673940B6D09404CB78DCCCD3A |
PackageArch | x86_64 |
PackageDescription | Syntax 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. |
PackageMaintainer | Fedora Project |
PackageName | R-highlight |
PackageRelease | 6.el8 |
PackageVersion | 0.5.0 |
SHA-1 | 0F956828993AE5296218E4A80608EEAB9D025C3D |
SHA-256 | 2E9872220A338D03EF178BE16AA43621F4704DF4C0650ECE8A786141D1C1CF04 |
Key | Value |
---|---|
MD5 | 0F1BD1705E7CA5DF912E45963A5DF392 |
PackageArch | x86_64 |
PackageDescription | The 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. |
PackageName | R-MasterBayes |
PackageRelease | 1.493 |
PackageVersion | 2.53.1 |
SHA-1 | 1352AAF532112C48EA845C7E34C3F52897B691B4 |
SHA-256 | ACE5D4075E1209243DF023A40EB6C771A64AD2C5252B2C7115494BADD6F3EF6A |
Key | Value |
---|---|
MD5 | F4D4FDA067F8FEF1BD8707CF437B0DDC |
PackageArch | x86_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."] |
PackageMaintainer | Fedora Project |
PackageName | R-rlecuyer |
PackageRelease | 8.el8 |
PackageVersion | 0.3.5 |
SHA-1 | 299919C0425268EF0FE3C486324958DEE9FBFAA4 |
SHA-256 | 55BD72FBB983A83D6FFB61ADD2E55DCF49893A6A6D9FF4B5BA14ACDAAC4B7250 |
Key | Value |
---|---|
MD5 | 5880CF1F40FFD66A5FCE466C56175BB3 |
PackageArch | noarch |
PackageDescription | R functions implementing a standard Unit Testing framework, with additional code inspection and report generation tools. |
PackageMaintainer | Fedora Project |
PackageName | R-RUnit |
PackageRelease | 3.el8 |
PackageVersion | 0.4.32 |
SHA-1 | 4A43CCE361AC2A9BF23E0C675F73D50DB264C2EC |
SHA-256 | B3AB314EC38AD64C5A90D4237B28AF9D243DA8E57C562AEAFB455E715A6B6C46 |
Key | Value |
---|---|
MD5 | 8EF23D35750FFE85365AC0672FDD0B15 |
PackageArch | x86_64 |
PackageDescription | A 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. |
PackageMaintainer | Fedora Project |
PackageName | R-littler |
PackageRelease | 1.el8 |
PackageVersion | 0.3.13 |
SHA-1 | 54F421B66C28A6F6E03DD93FDA1359816A4192FD |
SHA-256 | C20BDE0C54064D7A6EF1039C6353893E26E53199593CD61AFCE24C0CC6CF99AD |
Key | Value |
---|---|
MD5 | 0A4152619597E4055D61D4E08C36C41D |
PackageArch | x86_64 |
PackageDescription | The RInside packages makes it easier to have "R inside" your C++ application by providing a C++ wrapper class providing the R interpreter. |
PackageMaintainer | Fedora Project |
PackageName | R-RInside |
PackageRelease | 5.el8 |
PackageVersion | 0.2.16 |
SHA-1 | 5FB6CF66F856228C39C860C754E1ECA685BEF0CA |
SHA-256 | BB4BDBBDE3D9B76D863578F2F5E467F2E8F40400EFC603112CA76321453BC49D |
Key | Value |
---|---|
MD5 | 5C414FEF13AC7CEE3BD1D6C999A310C7 |
PackageArch | x86_64 |
PackageDescription | Sets 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>. |
PackageName | R-selac |
PackageRelease | 5.3 |
PackageVersion | 1.7.5 |
SHA-1 | 6C193D7B7746B16ACBF9341B42C65D9C913179C4 |
SHA-256 | 7529D2AB6CA296C931C61BE205BD25DE6A5756933104941602FADDE0DAFB87CF |
Key | Value |
---|---|
MD5 | 8C7A90CFF1E49ADAD1E561AB22392D42 |
PackageArch | x86_64 |
PackageDescription | The 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. |
PackageName | R-MasterBayes |
PackageRelease | 1.493 |
PackageVersion | 2.53.1 |
SHA-1 | 75BE0472F0FF2A84EB8E8811DD98A90881BE872B |
SHA-256 | 6610F8C0549138E7B83F0C6AD9AB133A4FDFD76E531924C59BCF2122D23F3F28 |