Parents (Total: 1003)

The searched file hash is included in 1003 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	EE949E49DAF8263CD60FF01CBBD4686C
PackageArch	x86_64
PackageDescription	Using some association schemes to obtain a new series of resolvable partially pairwise balanced designs (RPPBD) and space-filling designs.
PackageName	R-RPPairwiseDesign
PackageRelease	lp153.2.3
PackageVersion	1.0
SHA-1	00886B3171C71941ABEFA5818F110A6B37C78AD8
SHA-256	C8CFE638B31DAC91F6A24EF6D30E4B38635170404A70950F9CCDEF3C3BEA3733

Key	Value
MD5	9BF6F547F2976F5E57B0E3B46356E13D
PackageArch	x86_64
PackageDescription	A '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).
PackageName	R-sdmApp
PackageRelease	4.6
PackageVersion	0.0.2
SHA-1	00D05FAF4FFEBE790906D1A59DCCD00552B32CFA
SHA-256	FADDB1D2D51D77B6944EBB478089821BCD38D23075934D3747E9EB36E2D4FAEE

Key	Value
MD5	1C4DDCC4FDC8ED75CF3ECAF7D5F567E8
PackageArch	x86_64
PackageDescription	An 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/>.
PackageName	R-BLRShiny
PackageRelease	11.6
PackageVersion	0.1.0
SHA-1	015A57B17F8AFC9BA6EEE0798573724CAB7F8E7D
SHA-256	38C429E04CB10166299281D9844A04928E5CB5E5143DB9FAFC22C8A05221135B

Key	Value
MD5	B909F0DBDB3EF8CB516BBC51C49D4E88
PackageArch	x86_64
PackageDescription	A custom framework for working with Type 1 Fuzzy Logic, produced by the University of Nottingham IMA Group.
PackageName	R-FuzzyToolkitUoN
PackageRelease	lp152.2.6
PackageVersion	1.0
SHA-1	02242F93495344D166B8FD63EF9DB89B2695F974
SHA-256	23B176E1695237E83BA7F45C7D42BE1F5FEBAFC58C90C79410C960DCCB7026CC

Key	Value
MD5	36536C29C4EFE73F6FBB75B14F936A1D
PackageArch	x86_64
PackageDescription	The SC-SR Algorithm is used to calculate fully non-parametric and self-consistent estimators of the cause-specific failure probabilities in the presence of interval-censoring and possible making of the failure cause in a competing risks environment. In the version 2.0 the function creating the probability matrix from double-censored data is added.
PackageName	R-sccr
PackageRelease	7.15
PackageVersion	2.1
SHA-1	02A03DF90A0117C4668ED75A9F7BFAF7396C05AE
SHA-256	6270BE253497A7202AA7330CAF51CB442DEEDC7D24002D709A693C38EABB6784

Key	Value
MD5	74A197B33F156049D531E5F61B952A2F
PackageArch	x86_64
PackageDescription	Force field simulation of interaction of set of points. Very useful for placing text labels on graphs, such as scatterplots.
PackageName	R-FField
PackageRelease	lp153.2.1
PackageVersion	0.1.0
SHA-1	02A115F4B539AD8F99B71F3F0C518CE19C3727F9
SHA-256	F2BC6EEBD177BD20AF43DD4D016102A0E3917727116AF900CAD3221F703DA346

Key	Value
MD5	1FB91E0AC2B08EF661FE9DE53F05C7DD
PackageArch	x86_64
PackageDescription	Calculate users prevalence of a product based on the prevalence of triers in the population. The measurement of triers is relatively easy. It is just a question of whether a person tried a product even once in his life or not. On the other hand, The measurement of people who also adopt it as part of their life is more complicated since adopting an innovative product is a subjective view of the individual. Mickey Kislev and Shira Kislev developed a formula to calculate the prevalence of a product's users to overcome this difficulty. The current package assists in calculating the users prevalence of a product based on the prevalence of triers in the population. See for: Kislev, M. M., and S. Kislev (2020) <doi:10.5539/ijms.v12n4p63>.
PackageName	R-ADP
PackageRelease	lp154.1.1
PackageVersion	0.1.6
SHA-1	02DB751D1A018D1CCAF37AB4F7CF7E52A6D27ECC
SHA-256	00BBF7A5399773DBD93C35AE0B2F8D5225A28ADD7980726F7907DA2AA02C044D

Key	Value
MD5	09A8CCDB97DCEA067D864C61BAFE3C77
PackageArch	x86_64
PackageDescription	Allows the user to view an image in full screen when clicking on it in 'RMarkdown' documents and 'shiny' applications. The package relies on the 'JavaScript' library 'intense-images'. See <https://tholman.com/intense-images/> for more information.
PackageName	R-rintimg
PackageRelease	lp152.3.2
PackageVersion	0.1.0
SHA-1	0313C3C7CADC30734CECE270140FD5DB2B6147C3
SHA-256	849C41A666D688974E87B6FC5C987A1A28272CF4A1533D3B4C53CBBD5C6F6423

Key	Value
MD5	2C74A75CF95062E60391FD9093BF217D
PackageArch	x86_64
PackageDescription	Optimizing a function F(U), where U is a semi-orthogonal matrix and F is invariant under an orthogonal transformation of U
PackageMaintainer	https://www.suse.com/
PackageName	R-GrassmannOptim
PackageRelease	lp154.2.1
PackageVersion	2.0
SHA-1	03B6214B14EBA8AD852FC55BA0C3A3527F9034DF
SHA-256	55D39878C7226DD4E1864CDE9E82136DFF32A118F51D8A801DEF84A6BFB45D72

Key	Value
MD5	1AE8A759D316C692D185EB4163BB20AB
PackageArch	x86_64
PackageDescription	Three functions are provided: first function changes time from local to UTC, other changes from UTC to local and third returns difference between local and UTC. %h+% operator is also provided it adds hours to a time.
PackageName	R-utc
PackageRelease	lp153.2.3
PackageVersion	0.1.5
SHA-1	03FB647AE707441912E68D251C4CCB0CBAE574E4
SHA-256	7324842B0B8C91528C7C3F24CD6A8F41041973607C40A46BCDEDCC9DDBCE5074