Result for 7E0D3498DF3BFEFAD0D7A66DF1054593B8619EAE

Query result

Key Value
FileName./usr/lib64/R/library/QuantLib/Meta/features.rds
FileSize132
MD59E7D1CDB84BC0DC15766856E3F19EADA
SHA-17E0D3498DF3BFEFAD0D7A66DF1054593B8619EAE
SHA-256A5BA4B26BBC09983C9D0FABCD5BFE7D5544727A288D725FE072E493E810A7D8C
SSDEEP3:FttVFD6XM/WOjf9haZkLgLX3HLZJcvHRmeX3F4jugLlln:XtVF2XjOJhhLgLX3Vu0KCFln
TLSHT1BEC02B04C3637095C1CC013003DC0DD0D46C989893C408192424305420400710DB09C9
hashlookup:parent-total149
hashlookup:trust100

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Parents (Total: 149)

The searched file hash is included in 149 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5E475AA454DF83D240131553BC8BB3B84
PackageArcharmv7hl
PackageDescriptionA fairly extensive and comprehensive interface to the graph algorithms contained in the BOOST library.
PackageNameR-RBGL
PackageRelease1.286
PackageVersion1.41.0
SHA-100CD466B1159F6E54840BA6DBD8BF746AF5DEE09
SHA-25632D27B75ECAA4BEAC8122A1DAF85D50571F53B734078B2E97F0E1B80725D1378
Key Value
MD503576719C3136F2D3488A0E6391A60A9
PackageArchx86_64
PackageDescriptionA suite of functions for computing various Bayes factors for simple designs, including contingency tables, one- and two-sample designs, one-way designs, general ANOVA designs, and linear regression.
PackageNameR-BayesFactor
PackageReleaselp153.2.9
PackageVersion0.9.12.4.2
SHA-100FDC800802928433D3BA6AE5D7D49EBD94BE352
SHA-25686C2D68762EAE748278C5166A9653D079F8B3FCEF713E337B32AAAADFBF6CE22
Key Value
MD571E6911695FE5CD358381FE1837DD04E
PackageArchx86_64
PackageDescriptionExtremely efficient procedures for fitting the entire lasso or elastic-net regularization path for linear regression, logistic and multinomial regression models, Poisson regression and the Cox model. Two recent additions are the multiple-response Gaussian, and the grouped multinomial regression. The algorithm uses cyclical coordinate descent in a path-wise fashion.
PackageNameR-glmnet
PackageReleaselp152.1.10
PackageVersion2.0.18
SHA-1014993F2B65FB9B93346002AE76A54F4289322BA
SHA-256FDA5D5E397F62BD30A61E00467B821104DA0F78AC0D3697A41307B7F56B04BED
Key Value
MD557248DE1085410810755636AC4AA545E
PackageArchi586
PackageDescriptionConnect to ODBC Compatible Databases using the DBI Interface.
PackageNameR-odbc
PackageRelease1.32
PackageVersion1.1.6
SHA-101E58B9877AA2474BE10E3DE2CBAA267B8F2025D
SHA-2564B45C043F33028793630ED5991799AFACBA3A49B695763F5A80D473FFDA46D01
Key Value
MD576A9B3F059D277E55BB0A3D4685B14FD
PackageArchx86_64
PackageDescriptionWARNING: This package is currently in beta status! This package provide GUI for demonstration of text mining concepts and "tm" package. It is implemented as a plugin to the R-Commander, which is based on tcl/tk. This set of dialogs can be accessed through the menu TextMining that is added to the R-Commander menus.
PackageNameR-RcmdrPlugin.TextMining
PackageReleaselp152.1.8
PackageVersion0.1_0
SHA-1024868D4153A1724353E960BB6AB88EA17BBB223
SHA-25614A5C0B3F7F216B165A5FD889F0D1B611A53177ACB286BEE868C2DD0D5DC4AA7
Key Value
MD58664F5137631194C021832E8DB338F5F
PackageArchx86_64
PackageDescriptionLow-rank matrix decompositions are fundamental tools and widely used for data analysis, dimension reduction, and data compression. Classically, highly accurate deterministic matrix algorithms are used for this task. However, the emergence of large-scale data has severely challenged our computational ability to analyze big data. The concept of randomness has been demonstrated as an effective strategy to quickly produce approximate answers to familiar problems such as the singular value decomposition (SVD). The rsvd package provides several randomized matrix algorithms such as the randomized singular value decomposition (rsvd), randomized principal component analysis (rpca), randomized robust principal component analysis (rrpca), randomized interpolative decomposition (rid), and the randomized CUR decomposition (rcur). In addition several plot functions are provided. The methods are discussed in detail by Erichson et al. (2016) <arXiv:1608.02148>.
PackageNameR-rsvd
PackageReleaselp152.1.8
PackageVersion1.0.2
SHA-1028DD563BAFAFF791F91374E86F3FCBE7A442C04
SHA-256A7E6D8C8A704260EB7C167761F6A81971705EAA855544ED3AA06FE7B5D98BF3E
Key Value
MD50107C97A99810AC34C9FC6DBA420B965
PackageArchx86_64
PackageDescriptionA package that implements some simple graph handling capabilities.
PackageNameR-graph
PackageReleaselp153.2.10
PackageVersion1.42.0
SHA-104F25BB9CB44A9CFFF672A1B9F60C18CE9A5876F
SHA-2565850809DC42A3EE3E457BF4EB65CCC3F10122F7260EBF1D556CEE6991F1927C8
Key Value
MD5BCD3BD34DFBA69D8A6A37E1B9A7FF1F9
PackageArcharmv7hl
PackageDescriptionInterfaces R with the AT and T graphviz library for plotting R graph objects from the graph package.
PackageNameR-Rgraphviz
PackageRelease2.336
PackageVersion2.8.1
SHA-10505A0E96CCE89705975DFD26EF6313625E7C8F9
SHA-2566096D34B9917DCCF010DC72A8994A1600C0CE5AFCF7B7EF05F2AE8CD1EB72E5A
Key Value
MD53633829EFE9665731287D0D22451366B
PackageArcharmv7hl
PackageDescriptionThis package provides a Cairo graphics device that can be use to create high-quality vector (PDF, PostScript and SVG) and bitmap output (PNG,JPEG,TIFF), and high-quality rendering in displays (X11 and Win32). Since it uses the same back-end for all output, copying across formats is WYSIWYG.Files are created without the dependence on X11 or other external programs. This device supports alpha channel (semi-transparent drawing) and resulting images can contain transparent and semi-transparent regions. It is ideal for use in server environemnts (file output) and as a replacement for other devices that don't have Cairo's capabilities such as alpha support or anti-aliasing.Backends are modular such that any subset of backends is supported.
PackageMaintainerumeabot <umeabot>
PackageNameR-cran-Cairo
PackageRelease2.mga9
PackageVersion1.5.12.2
SHA-109AE03700C279607A93128EC1AF5F6CC5F10D25D
SHA-256DEC27673EEFC976310AC421F08C2B1E32884934B9A4D5A52D3DC29D8A72ED956
Key Value
MD52CDCAFDDB7F12AB3F7250772D7F51BE9
PackageArchx86_64
PackageDescriptionA fairly extensive and comprehensive interface to the graph algorithms contained in the BOOST library.
PackageNameR-RBGL
PackageReleaselp152.1.11
PackageVersion1.41.0
SHA-10B24FF5D19A6F46F467AC170B30FA802343676A7
SHA-2569AC1B816643F2B85329792EBA0575DE306DC1B19B777C56E97AB1BB1EEA87007