Result for 124F16521520C187CD293F11FADD302A98D71996

Query result

Key Value
FileName./usr/lib64/R/library/testthat/Meta/features.rds
FileSize132
MD52F6823AC0E09BB1D707EBA1F2A5609EA
SHA-1124F16521520C187CD293F11FADD302A98D71996
SHA-256BF57D16B4868FE1138CD34CD38FDA09C53A71B935F5EC38ABC510D516940D3DE
SSDEEP3:FttVFD69WOjf9haZkLgLX3HLZJcvHRmeX3F4juAWCH:XtVFugOJhhLgLX3Vu0KC6CH
TLSHT136C02B08D3936099C0CC003003EC1DC0C42C5878A3C80C1A2024314A20440B28D719D8
hashlookup:parent-total51
hashlookup:trust100

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Parents (Total: 51)

The searched file hash is included in 51 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD528E9FE4CB9A7230476C4C74FF0482CB9
PackageArchi586
PackageDescriptionA fast C++ implementation to generate contour lines (isolines) and contour polygons (isobands) from regularly spaced grids containing elevation data.
PackageNameR-isoband
PackageRelease1.40
PackageVersion0.2.0
SHA-103D6FC14C7CC6F89359ADD455CC986483FAAC7C2
SHA-2561E2D07463C0A4205C6FCFB1CD086BB9FDF4823B9221F88A0D5AF1EF200C98F8D
Key Value
MD50B5472F718014AC4C5B8150047287B40
PackageArchs390x
PackageDescriptionA language and environment for statistical computing and graphics. R is similar to the award-winning S system, which was developed at Bell Laboratories by John Chambers et al. It provides a wide variety of statistical and graphical techniques (linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, ...). R is designed as a true computer language with control-flow constructions for iteration and alternation, and it allows users to add additional functionality by defining new functions. For computationally intensive tasks, C, C++ and Fortran code can be linked and called at run time.
PackageMaintainerFedora Project
PackageNameR-core
PackageRelease1.el8
PackageVersion4.1.1
SHA-108E03E073B8E8B10B9E85123DE9D76B5F9C29A78
SHA-256253FBBD3E1B70A54CA8956A9E89200B6AAAF2A1900B790294978B3733465CC18
Key Value
MD5D0FDA898CF51D36EE162E5D253CFFF02
PackageArchx86_64
PackageDescriptionGlobal Soil Information Facilities - tools (standards and functions) and sample datasets for global soil mapping.
PackageNameR-GSIF
PackageRelease4.15
PackageVersion0.5.5.1
SHA-10CED1D0F966828E54A81BF7F819DD5F3A7D45CEF
SHA-25641E2378F2B737B2F10991B506672BC290A2A4232556C3BF6B70D9DECEC7B2680
Key Value
MD5DF0F6A7CEC87CC40641C5F6E2B293F91
PackageArchx86_64
PackageDescriptionThe popular population genetic software 'Treemix' by 'Pickrell and Pritchard' (2012) <DOI:10.1371/journal.pgen.1002967> estimates the number of migration edges on a population tree. However, it can be difficult to determine the number of migration edges to include. Previously, it was customary to stop adding migration edges when 99.8% of variation in the data was explained, but 'OptM' automates this process using an ad hoc statistic based on the second-order rate of change in the log likelihood. 'OptM' also has added functionality for various threshold modeling to compare with the ad hoc statistic.
PackageNameR-OptM
PackageReleaselp153.2.2
PackageVersion0.1.3
SHA-10D5B093E50B296BC61C74F1EE3BDFA717DA1C8AB
SHA-256893A57E0CB6421B6BDF40685B3DDC13107189687D60C23FC8F003CBB18D52C4D
Key Value
MD50FA96740EA57AB895C471DE080F0C365
PackageArchx86_64
PackageDescriptionUses bootstrap resampling to run fantasy football season simulations supported by historical rankings and 'nflfastR' data, calculating optimal lineups, and returning aggregated results.
PackageNameR-ffsimulator
PackageReleaselp152.1.2
PackageVersion1.0.0
SHA-11A6941F5A2CC116F7823304B484F52274B4E4BD1
SHA-256BC8676FBDBD76E9BA39BB9E381A3479667D3C83F76653C105A1E24C989679EFD
Key Value
MD582D8E0141B7EE30D58A405BC527680EF
PackageArchx86_64
PackageDescriptionThe SAFE Project (<https://www.safeproject.net/>) is a large scale ecological experiment in Malaysian Borneo that explores the impact of habitat fragmentation and conversion on ecosystem function and services. Data collected at the SAFE Project is made available under a common format through the Zenodo data repository and this package makes it easy to discover and load that data into R.
PackageNameR-safedata
PackageReleaselp152.8.1
PackageVersion1.0.9
SHA-11D566A554D74C448BD5226B056D7347CDC5C227F
SHA-256B1DAB89F3CD1F6A85DE2C60069651F775E957F19FA93A331812784A5EAC7452F
Key Value
MD503DCE811D2D4EDD5FCB9B6D4949FB4E5
PackageArcharmv7hl
PackageDescriptionA testing package specifically tailored for R.
PackageNameR-testthat
PackageRelease1.35
PackageVersion2.3.2
SHA-11DF34096A5BDA9F0F78F492086E0EA16EF066226
SHA-25631B0357B7A57DA9FDFFC7CF4B10E69DFF791B2A01E71FAE75516DF9ED6AAF361
Key Value
MD56C5F5EA7265B9F48A5BAE6C6287974F1
PackageArcharmv7hl
PackageDescriptionA fast C++ implementation to generate contour lines (isolines) and contour polygons (isobands) from regularly spaced grids containing elevation data.
PackageNameR-isoband
PackageRelease1.35
PackageVersion0.2.0
SHA-11E72AEA80243013AC2CDA4164EAFA6F429A6314C
SHA-25679A7F03EB2F465FA649CE68E8942C82B6609E32E4EB48AEC16CF6A73084A694E
Key Value
MD5392775026659099C6DE6E25D9E703AF2
PackageArcharmv7hl
PackageDescriptionAn interface to the yacas computer algebra system.
PackageNameR-Ryacas
PackageRelease1.69
PackageVersion0.4.1
SHA-12657F0846D086E57A81C362D47D6AF9E3E12EC78
SHA-2565DCC88EC8A72AB3D96F7196748F1959B9895C0CAC4D4B59E2A4F62778295A3C7
Key Value
MD52A0E23178B35306F6B744882161D7910
PackageArchx86_64
PackageDescriptionSpatio-temporal locations of an animal are computed from annotated data with a hidden Markov model via particle filter algorithm. The package is relatively robust to varying degrees of shading. The hidden Markov model is described in Movement Ecology (Rakhimberdiev et al., 2015) <doi:10.1186/s40462-015-0062-5>, general package description is in the Methods in Ecology and Evolution (Rakhimberdiev et al., 2017) <doi:10.1111/2041-210X.12765> and package accuracy assessed in the Journal of Avian Biology (Rakhimberdiev et al. 2016) <doi:10.1111/jav.00891>.
PackageNameR-FLightR
PackageReleaselp153.1.1
PackageVersion0.5.1
SHA-127F323610D3414ECC4CCFCDB110789A2D0EBF892
SHA-256F583ACF885AA7A7CE38B0A94A34C92199C45F73DD2BB592DF96E9E224A3811E3