Parents (Total: 58386)

The searched file hash is included in 58386 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	9247ADEA25FDC78EB7714C8B387B5855
PackageArch	x86_64
PackageDescription	Implements two-sample tests for paired data with missing values (Fong, Huang, Lemos and McElrath 2018, Biostatics, <doi:10.1093/biostatistics/kxx039>) and modified Wilcoxon-Mann-Whitney two sample location test, also known as the Fligner-Policello test.
PackageName	R-robustrank
PackageRelease	lp153.2.3
PackageVersion	2019.9.10
SHA-1	00010F7302C37190DF2E079070F93AD1A1905B7D
SHA-256	170A47D7451F91EBECBA2D9E3BCA60ACFF6F07894EE9C06B2D5D00BEC79D8443

Key	Value
MD5	CD44B5D47F5B8B41DC4F8593E2464E72
PackageArch	armv7hl
PackageDescription	Normal Mixture Modeling fitted via EM algorithm for Model-Based Clustering, Classification, and Density Estimation, including Bayesian
PackageName	R-mclust
PackageRelease	2.159
PackageVersion	4.4
SHA-1	0003530BC038607E10A33EC093B6E0D0410DCF27
SHA-256	7B4D13397BDCF6143CBFAFD4A63453A9FC838ECD9CA39A2F5C124D85A036201D

Key	Value
MD5	37A8ACB359D85FC63CD696F12C153B5D
PackageArch	x86_64
PackageDescription	Drop-in replacements for the base system2() function with fine control and consistent behavior across platforms. Supports clean interruption, timeout, background tasks, and streaming STDIN / STDOUT / STDERR over binary or text connections. Arguments on Windows automatically get encoded and quoted to work on different locales.
PackageName	R-sys
PackageRelease	lp153.2.3
PackageVersion	3.4
SHA-1	0003DBD20758B6B6C02DB554CFAFB842E5CF3BD2
SHA-256	97A53B4FFCCBCBE45030547CCA5C54F476E6B008BC309BFF8D75C16068065C59

Key	Value
MD5	BCA324BE9F7FB6721808C72FFC28AE31
PackageArch	x86_64
PackageDescription	An R API wrapper for the 'Hystreet' project <https://hystreet.com>. 'Hystreet' provides pedestrian counts in different cities in Germany.
PackageName	R-hystReet
PackageRelease	lp153.4.2
PackageVersion	0.0.2
SHA-1	0004A57B771381D72846C56B5626A45C33E9B226
SHA-256	A7F01D3D8152D49A78A07870489EB371EFC602F91BC166523B6B223DAA724747

Key	Value
MD5	DFF7FD5CE91CBAB4A28CC796FD3C7833
PackageArch	x86_64
PackageDescription	Calculate change point based on spectral clustering with the option to automatically calculate the number of clusters if this information is not available.
PackageName	R-SpecDetec
PackageRelease	lp152.2.6
PackageVersion	1.0.0
SHA-1	0004F27437E2C9A4A771E48D89ED1847B6735455
SHA-256	72F9072C33B56DFAE8379D8C15230A5F5954209832371DA1AFDD998898EB23C7

Key	Value
MD5	7364B0D23B194C96BD96617F5509FE85
PackageArch	x86_64
PackageDescription	Estimate tracks of animals tagged with acoustic transmitters. 'yaps' was introduced in 2017 as a transparent open-source tool to estimate positions of fish (and other aquatic animals) tagged with acoustic transmitters. Based on registrations of acoustic transmitters on hydrophones positioned in a fixed array, 'yaps' enables users to synchronize the collected data (i.e. correcting for drift in the internal clocks of the hydrophones/receivers) and subsequently to estimate tracks of the tagged animals. The paper introducing 'yaps' is available in open access at Baktoft, Gjelland, Økland & Thygesen (2017) <doi:10.1038/s41598-017-14278-z>. Also check out our cookbook with a completely worked through example at Baktoft, Gjelland, Økland, Rehage, Rodemann, Corujo, Viadero & Thygesen (2019) <DOI:10.1101/2019.12.16.877688>. Additional tutorials will eventually make their way onto the project website at <https://baktoft.github.io/yaps/>.
PackageName	R-yaps
PackageRelease	lp153.1.3
PackageVersion	1.2.5
SHA-1	0005ED5DF03D713EE07CF89E2B871F335632A4F1
SHA-256	D498B7A9E540C765AF58C2692F6B61FED6C3E9D4F03E0E6728AE2D6CBBAC6664

Key	Value
MD5	3F12AAD3ABC67A55B5BF2702B3414690
PackageArch	x86_64
PackageDescription	The minimal 'rrapply'-package contains a single function rrapply(), providing an extended implementation of 'R'-base rapply() by allowing to recursively apply a function to elements of a nested list based on a general condition function and including the possibility to prune or aggregate nested list elements from the result. In addition, special arguments can be supplied to access the name, location, parents and siblings in the nested list of the element under evaluation. The rrapply() function builds upon rapply()'s native 'C' implementation and requires no other package dependencies.
PackageName	R-rrapply
PackageRelease	lp153.1.1
PackageVersion	1.2.3
SHA-1	0006406B2B217D1809C95E2308AA694C274B0AC9
SHA-256	4D5E120C5AE9EC1E9920D3C78DCF1124FEE208033594F520C1C9C2FD3D49D3BB

Key	Value
MD5	8375EB99ECAAF0C0884F30AE4E3440DF
PackageArch	x86_64
PackageDescription	Provides a selection of tools that make it easier to place elements onto a (base R) plot exactly where you want them. It allows users to identify points and distances on a plot in terms of inches, pixels, margin lines, data units, and proportions of the plotting space, all in a manner more simple than manipulating par().
PackageName	R-precisePlacement
PackageRelease	lp153.1.2
PackageVersion	0.1.0
SHA-1	000645B29C1F121739328048FC8A292C182FACDC
SHA-256	608343BD531E81B5DF9A5C0BC80351975F164F68AC621458BF23D3AABCE5ACB0

Key	Value
MD5	34F1B28C3C0418AE428ECA9B4C511B59
PackageArch	x86_64
PackageDescription	Computes robust association measures that do not presuppose linearity. The xi correlation (xicor) is based on cross correlation between ranked increments. The reference for the methods implemented here is Chatterjee, Sourav (2020) <arXiv:1909.10140> This package includes the Galton peas example.
PackageName	R-XICOR
PackageRelease	lp152.2.6
PackageVersion	0.3.3
SHA-1	00067255D7CAF262562BA761CDCBDB1FF4BFE487
SHA-256	1C7E28A2D8F8498FE8818C4122E9976672AD41AA8CF984B6A75F2B05B2705AFB

Key	Value
MD5	27656C1BADB5C89BA9B9F3729836E58E
PackageArch	x86_64
PackageDescription	Implements an ensemble algorithm for clustering combining a k-means and a hierarchical clustering approach.
PackageName	R-hkclustering
PackageRelease	lp153.2.3
PackageVersion	1.0.1
SHA-1	00077027B7830BE4504863A44CB913DFBE6FD99D
SHA-256	B745F3FF6FBC6DA35989B63B64AAA53A3125BDDF9A601550C1C338A3D43B8BAF