Result for 101EDD28FAE2C2424CFE1A4FCE90BF5E4BA0BFDB

Query result

Key Value
FileName./usr/lib64/R/library/zlibbioc/Meta/nsInfo.rds
FileSize217
MD59E175776F750CC8534CC92B37F676BE3
SHA-1101EDD28FAE2C2424CFE1A4FCE90BF5E4BA0BFDB
SHA-2560E1807ABFF923D0F7AB681386EBE29E53E8A0A80290E1AEC75AA2244C99F1989
SSDEEP3:FttVFD/EWOjf9hWlpMliK6pSNlpmPRs2bsUqNZFgZSKQT37CBzyEiy6Fh0ehs73v:XtVFDjOJhi+I+ReRs2LqNZxPCb6FielO
TLSHT18ED023CD5704115DDE5B7019C2654290D1DD469DC660119E2C6303D1B7F7A3393D55AF
hashlookup:parent-total1538
hashlookup:trust100

Network graph view

Parents (Total: 1538)

The searched file hash is included in 1538 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD53E2B6720182AD9F03030675810982F6A
PackageArchx86_64
PackageDescriptionThis is the library that can serialize or unserialize MessagePack format data.
PackageNameR-msgpackR
PackageReleaselp153.2.3
PackageVersion1.1
SHA-1006B646A1FDC5642C497D2A84FB652C2DA0EA4AA
SHA-2560D4A2881FD12E0B80F6F58DC8B47F857671B7FC467A3747CD070E3C5D696A007
Key Value
MD5EE949E49DAF8263CD60FF01CBBD4686C
PackageArchx86_64
PackageDescriptionUsing some association schemes to obtain a new series of resolvable partially pairwise balanced designs (RPPBD) and space-filling designs.
PackageNameR-RPPairwiseDesign
PackageReleaselp153.2.3
PackageVersion1.0
SHA-100886B3171C71941ABEFA5818F110A6B37C78AD8
SHA-256C8CFE638B31DAC91F6A24EF6D30E4B38635170404A70950F9CCDEF3C3BEA3733
Key Value
MD5708B38AE851494DD04395E9BF11A0E57
PackageArchx86_64
PackageDescriptioncontains several supplementary non-parametric statistics methods including quantile test, Cox-Stuart trend test, runs test, normal score test, kernel PDF and CDF estimation, kernel regression estimation and kernel Kolmogorov-Smirnov test.
PackageNameR-snpar
PackageReleaselp153.2.3
PackageVersion1.0
SHA-1009CED0F7ED537C114E3196E0EFB25864BFE7798
SHA-25607E8F7A37A092A208EE43D4AB93CA694A4EA94C176A83E802280D57F024F8ABC
Key Value
MD524186E1E7694E13FCA974EDE5C9CA9EA
PackageArchx86_64
PackageDescriptionContains data which are used by functions of the 'abc' package.
PackageMaintainerhttps://www.suse.com/
PackageNameR-abc.data
PackageReleaselp154.2.1
PackageVersion1.0
SHA-100B17BF431D3C6405A429C1BC0F37C4B97FC2722
SHA-256DD77B1EA36F8F875BFA56A91C8EC0DBDA422D528B3B2B9841C53AAAB19F60D03
Key Value
MD59BF6F547F2976F5E57B0E3B46356E13D
PackageArchx86_64
PackageDescriptionA 'shiny' application that allows non-expert 'R' users to easily model species distribution. It offers a reproducible work flow for species distribution modeling into a single and user friendly environment. 'sdmApp' takes 'raster' data (in format supported by the 'raster package') and species occurrence data (several format supported) as input argument. It provides an interactive graphical user interface (GUI).
PackageNameR-sdmApp
PackageRelease4.6
PackageVersion0.0.2
SHA-100D05FAF4FFEBE790906D1A59DCCD00552B32CFA
SHA-256FADDB1D2D51D77B6944EBB478089821BCD38D23075934D3747E9EB36E2D4FAEE
Key Value
MD5D16B890572F7B24739E1CF598AD5E654
PackageArchx86_64
PackageDescriptionThe package contains the WCQ method for detection of QTL effects in a small mapping population. It also contains implementation of the Chen-Qin two-sample and one-sample test of means.
PackageMaintainerhttps://www.suse.com/
PackageNameR-WCQ
PackageReleaselp154.2.1
PackageVersion0.2
SHA-100F55BCA55CCDF2AA4418A677474B1197CF77CE2
SHA-256AF4F6755E7158476D9B911913FED1790F58E3A49343D5F146B223436034CB101
Key Value
MD51C4DDCC4FDC8ED75CF3ECAF7D5F567E8
PackageArchx86_64
PackageDescriptionAn interactive document on the topic of binary logistic regression analysis using 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the package function as well as at <https://analyticmodels.shinyapps.io/BinaryLogisticRegressionModelling/>.
PackageNameR-BLRShiny
PackageRelease11.6
PackageVersion0.1.0
SHA-1015A57B17F8AFC9BA6EEE0798573724CAB7F8E7D
SHA-25638C429E04CB10166299281D9844A04928E5CB5E5143DB9FAFC22C8A05221135B
Key Value
MD57457270C4CDB0826D46D21FDB0B7AC86
PackageArchx86_64
PackageDescriptionEstimation of the conditional covariance matrix using the RiskMetrics 2006 methodology of Zumbach (2007) <doi:10.2139/ssrn.1420185>.
PackageNameR-RM2006
PackageReleaselp152.2.6
PackageVersion0.1.1
SHA-101C911C7BC8607B4227661E38BC9EC9F62573B6A
SHA-256D6CD6E174FFA53FBD0F3E9577CFD322938CAD6E0032CC3E9371B1BC8F4D5C80C
Key Value
MD5B909F0DBDB3EF8CB516BBC51C49D4E88
PackageArchx86_64
PackageDescriptionA custom framework for working with Type 1 Fuzzy Logic, produced by the University of Nottingham IMA Group.
PackageNameR-FuzzyToolkitUoN
PackageReleaselp152.2.6
PackageVersion1.0
SHA-102242F93495344D166B8FD63EF9DB89B2695F974
SHA-25623B176E1695237E83BA7F45C7D42BE1F5FEBAFC58C90C79410C960DCCB7026CC
Key Value
MD578148E9A89582292096D2457EA710AFC
PackageArchx86_64
PackageDescriptionTransactions occurring for a UK-based and registered, non-store online retail between 01/12/2010 and 09/12/2011 (Chen et. al., 2012, <doi:10.1145/1835804.1835882>). This dataset is included in this package with the donor's permission, Dr. Daqing Chen.
PackageNameR-onlineretail
PackageReleaselp152.1.4
PackageVersion0.1.2
SHA-102478DC8A148E9CD25F422175D963445181624C1
SHA-2563AD3EF7DBC8B69D53AAE62E2BE6E3C00C1D9F5EE94E9A74CCC0257FE3B14D9E6