Parents (Total: 98)

The searched file hash is included in 98 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	DE493702280F78F4D12AF2CDA41F7D6D
PackageArch	x86_64
PackageDescription	Compare complex R objects and reveal the key differences. Designed particularly for use in testing packages where being able to quickly isolate key differences makes understanding test failures much easier.
PackageName	R-waldo
PackageRelease	1.13
PackageVersion	0.2.2
SHA-1	00970DC95606EEF49E066B30C0A27673FF07D711
SHA-256	2FFDF83FDB4A5A154865FF09200AAF4BAE1C6C46B7E8D4D77A327975B5D7539F

Key	Value
MD5	3E2D1B92F6EBA77DB0D22D0BD62EF5DD
PackageArch	x86_64
PackageDescription	In order to reduce potential package dependencies and conflicts, generics provides a number of commonly used S3 generics.
PackageName	R-generics
PackageRelease	lp152.1.2
PackageVersion	0.1.1
SHA-1	00D83750FF5CDDA968E19F533AC5776FB9675103
SHA-256	0912CAA42C184F4E30F3F5E300E428AC1830FDB1EB02A7215AB109243E30502D

Key	Value
MD5	2FBBC40BE1185D6FABD959410CF518C2
PackageArch	x86_64
PackageDescription	Provides access to datasets, models and preprocessing facilities for deep learning with images. Integrates seamlessly with the 'torch' package and it's 'API' borrows heavily from 'PyTorch' vision package.
PackageName	R-torchvision
PackageRelease	lp153.1.2
PackageVersion	0.4.0
SHA-1	0217CD220580503AA049F296BB66F18E3A2AC586
SHA-256	CB23BBE4BE6059C48F0BEFF2138E7BE1FE38A846378323EC0C158975083BCA3C

Key	Value
MD5	74F13EAE59A7456EF010CDC40B41528F
PackageArch	x86_64
PackageDescription	The ability to tune models is important. 'finetune' enhances the 'tune' package by providing more specialized methods for finding reasonable values of model tuning parameters. Two racing methods described by Kuhn (2014) <arXiv:1405.6974> are included. An iterative search method using generalized simulated annealing (Bohachevsky, Johnson and Stein, 1986) <doi:10.1080/00401706.1986.10488128> is also included.
PackageName	R-finetune
PackageRelease	3.10
PackageVersion	0.1.0
SHA-1	0305532BF9106096079EBB2AEBC49829ED058920
SHA-256	88D567C005D5B263A67BB146EE8A6DC6875B0CA565B2EFE83D8BD975094E2E1F

Key	Value
MD5	0FB88535B9FB37CFB4C488F4A712E7BD
PackageArch	x86_64
PackageDescription	Provides a header only, C++11 interface to R's C interface. Compared to other approaches 'cpp11' strives to be safe against long jumps from the C API as well as C++ exceptions, conform to normal R function semantics and supports interaction with 'ALTREP' vectors.
PackageName	R-cpp11
PackageRelease	1.3
PackageVersion	0.4.2
SHA-1	03159BF1C6B44EC9D04C09CB955400B9050805B7
SHA-256	35B873D5498224C7AFA7C742318670073D5287F9F8EF4A1D5BAE6F7073680034

Key	Value
MD5	E2C9A6D5A4176D4033AF62A1EE78E5C9
PackageArch	x86_64
PackageDescription	Provides a header only, C++11 interface to R's C interface. Compared to other approaches 'cpp11' strives to be safe against long jumps from the C API as well as C++ exceptions, conform to normal R function semantics and supports interaction with 'ALTREP' vectors.
PackageName	R-cpp11
PackageRelease	lp152.1.1
PackageVersion	0.4.2
SHA-1	04F0946475EC88C079E3FF86DA6924684230E019
SHA-256	DB8CAD3869BDD9980C43957EC1A4BA5099CDA6B7D33D99EA752498FF48A0A8A5

Key	Value
MD5	1C133D52B5A0E0F99565FC9735123C35
PackageArch	x86_64
PackageDescription	The ability to tune models is important. 'tune' contains functions and classes to be used in conjunction with other 'tidymodels' packages for finding reasonable values of hyper-parameters in models, pre-processing methods, and post-processing steps.
PackageName	R-tune
PackageRelease	lp154.2.1
PackageVersion	0.1.6
SHA-1	0822E8E3064DE00EE54DB8D814DAE4C29AB944DC
SHA-256	0481553A7701BFB085D2A14105CB8599870E97566F977303C00A99B121295756

Key	Value
MD5	B68D9756C77CC9AF66FC231F6EA6A52A
PackageArch	x86_64
PackageDescription	Functions to handle basic input output, these functions always read and write UTF-8 (8-bit Unicode Transformation Format) files and provide more explicit control over line endings.
PackageMaintainer	Fedora Project
PackageName	R-brio
PackageRelease	1.fc34
PackageVersion	1.1.1
SHA-1	1014176A47BE9799010787869FB8882F9A32C39F
SHA-256	1C6A97B52DA3253ED1E35C1FF676FEB0F40282E186794652741F46993D4DECED

Key	Value
MD5	6E48F51DB210AF21E7171B1E7BDE572C
PackageArch	x86_64
PackageDescription	The ability to tune models is important. 'finetune' enhances the 'tune' package by providing more specialized methods for finding reasonable values of model tuning parameters. Two racing methods described by Kuhn (2014) <arXiv:1405.6974> are included. An iterative search method using generalized simulated annealing (Bohachevsky, Johnson and Stein, 1986) <doi:10.1080/00401706.1986.10488128> is also included.
PackageName	R-finetune
PackageRelease	lp154.3.1
PackageVersion	0.1.0
SHA-1	1268067EAC3272CE1C39AE31A3F6C187A96269E5
SHA-256	6A7AB1CC39C9423767742F4E426115A211B50743AA847A91454FA27A70355F10

Key	Value
MD5	B4474305F14A6A40E8513850245F7FA1
PackageArch	x86_64
PackageDescription	Bindings for Poisson regression models for use with the 'parsnip' package. Models include simple generalized linear models, Bayesian models, and zero-inflated Poisson models (Zeileis, Kleiber, and Jackman (2008) <doi:10.18637/jss.v027.i08>).
PackageName	R-poissonreg
PackageRelease	lp152.1.3
PackageVersion	0.1.1
SHA-1	15AB7C018D444D700847AE4D35F770540CB47FC9
SHA-256	5FFD7D7FBB0A7343F0615E2AD103F6CE33CAFC15CCEB2F7C0822ACD554FFB0E9