Parents (Total: 117)

The searched file hash is included in 117 parent files which include package known and seen by metalookup. A sample is included below:

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	076CF783710F1087B305CDBBD1A832D8
PackageArch	x86_64
PackageDescription	We offer two statistical tests to combine p-values: selfcontained.test vs competitive.test. The goal is to test whether a vector of pvalues are jointly significant when we combine them together.
PackageName	R-CombinePValue
PackageRelease	lp153.2.1
PackageVersion	1.0
SHA-1	0824C07E31C1E716FF535E79CE0710838ADF93E1
SHA-256	A360F42D35EB2EC7A416F41540B62D4B3BCA3642F90D24A314458354ABC2D203

Key	Value
MD5	A3C5C68D1C8670696A9216A1913BA6C3
PackageArch	x86_64
PackageDescription	GAIPE implements graphical representation of accuracy in parameter estimation (AIPE) on RMSEA for sample size planning in structural equation modeling. Sample sizes suggested by RMSEA with AIPE method and power analysis approach can also be obtained separately using the provided functions.
PackageName	R-GAIPE
PackageRelease	lp153.2.1
PackageVersion	1.0
SHA-1	0A5FAB7FD0A84D8ECBE8CE3C6220594BB95F5591
SHA-256	5F1B98D6B8DBEB3196E18E1FD21D5834596A3B49C0C4F78EF00B2A76AEB164DC

Key	Value
MD5	C0D38C08BC7B262287A0C9C223D935E5
PackageArch	x86_64
PackageDescription	Integer Programming Formulations Applied to Univariate and Multivariate Allocation Problems.
PackageName	R-MultAlloc
PackageRelease	lp153.2.1
PackageVersion	1.2
SHA-1	0E0F758C64B9F9AA94D9662FC3C4C398DB7CBFB6
SHA-256	42CD3D705E6E06C22F6B5D161AF96C515F34576569C72618911CFF33EB5110E3

Key	Value
MD5	77F10EB199A193164B8866EB121C1660
PackageArch	x86_64
PackageDescription	Edgeworth Expansion calculation.
PackageName	R-EW
PackageRelease	lp153.2.1
PackageVersion	1.1
SHA-1	0EB686CCD91AE4D74B2914EB4EF33B3CFA167436
SHA-256	702B93DDF59B4960C04DF704213DE800B68BE9AF8FC068EFF677C31F7F2E0534

Key	Value
FileSize	15280
MD5	15B17EEE7FB7DE88ADCBD4D8CF676F78
PackageDescription	efficient calculation of accurate masses and abundances of isotopic peaks This GNU R package provides efficient calculation of accurate masses and abundances of isotopic peaks. It is a precondition for R NITPICK which does peak identification for mass spectrometry data.
PackageMaintainer	Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
PackageName	r-other-amsmercury
PackageSection	gnu-r
PackageVersion	1.3.0-3
SHA-1	0EF600B18DD1F674164B70A8DB8E7BB5BE8BF1A8
SHA-256	50918B25085A6DEF57180CC7D9F70589FCD9AC28A29E3404DE36D38D506AF7F3

Key	Value
MD5	D95A7A12DACF22B03D70E113354F50C1
PackageArch	x86_64
PackageDescription	An implementation of the algorithm described in "Efficient Large- Scale Internet Media Selection Optimization for Online Display Advertising" by Paulson, Luo, and James (Journal of Marketing Research 2018; see URL below for journal text/citation and <http://faculty.marshall.usc.edu/gareth-james/Research/ELMSO.pdf> for a full-text version of the paper). The algorithm here is designed to allocate budget across a set of online advertising opportunities using a coordinate-descent approach, but it can be used in any resource-allocation problem with a matrix of visitation (in the case of the paper, website page- views) and channels (in the paper, websites). The package contains allocation functions both in the presence of bidding, when allocation is dependent on channel-specific cost curves, and when advertising costs are fixed at each channel.
PackageName	R-ELMSO
PackageRelease	lp153.2.1
PackageVersion	1.0.1
SHA-1	100BF97C0EB2DA6D3BF2A63A903E8B57497D1B98
SHA-256	A7937B7163BB93D2C5AF95C968AD00587617C833806F8D953D3C7A741B4EE778

Key	Value
MD5	69DEBFC6300088DFF40A8BB9FA349353
PackageArch	x86_64
PackageDescription	A tree bootstrap method for estimating uncertainty in respondent-driven samples (RDS). Quantiles are estimated by multilevel resampling in such a way that preserves the dependencies of and accounts for the high variability of the RDS process.
PackageName	R-RDStreeboot
PackageRelease	lp153.2.1
PackageVersion	1.0
SHA-1	1207D387923C587A67C918CD91B819CC81A9EF58
SHA-256	90B4044B5FE3856C10327565CEE0C3180A4243706274724C99DF90DBEE4E5A84

Key	Value
MD5	00EB369D4E20AF027C81A7AF6358CACB
PackageArch	x86_64
PackageDescription	Creates strings that show a text message in 8 by 8 block letters
PackageName	R-BlockMessage
PackageRelease	lp153.2.1
PackageVersion	1.0
SHA-1	12DCB7AD48E6758512F59A2F268BCE1D0E72869F
SHA-256	642246B734BAAB20B31D978FA7FBABE4409E8F3D8E36353BBC571D02861E1AFC

Key	Value
MD5	D8ED364B2543FC0170DC35099B6CA4B3
PackageArch	x86_64
PackageDescription	This is the package which can help you turn numeric,dataframe,matrix into fraction form.
PackageName	R-FRACTION
PackageRelease	lp153.2.1
PackageVersion	1.0
SHA-1	16E314E197D81806B2287400B4E776CEF1A52B88
SHA-256	6CEB009DFE7F9B2738A477978B574CA97484508D01915370A5C107C4E02BE07B