Parents (Total: 78775)

The searched file hash is included in 78775 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	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	733FB062F5D732F3AA27A56A1B4B1E43
PackageArch	i586
PackageDescription	This package provides an Rcmdr "plug-in" based on the time series functions. Contributors: G. Jay Kerns, John Fox, and Richard Heiberger.
PackageName	R-RcmdrPlugin.epack
PackageRelease	2.719
PackageVersion	1.2.5
SHA-1	00055353D103351AF898182ED6CE2D566AD306A0
SHA-256	92300CED467C1317DBB94A09B3EB5ED5F105AE4B2385C1B11360E2E8BE3887D0

Key	Value
MD5	FCAD640A2759F9B6EB42E5FB9189CF52
PackageArch	i586
PackageDescription	A minimal, unifying API for scripts and packages to report progress updates from anywhere including when using parallel processing. The package is designed such that the developer can to focus on what progress should be reported on without having to worry about how to present it. The end user has full control of how, where, and when to render these progress updates, e.g. in the terminal using utils::txtProgressBar() or progress::progress_bar(), in a graphical user interface using utils::winProgressBar(), tcltk::tkProgressBar() or shiny::withProgress(), via the speakers using beep::beepr(), or on a file system via the size of a file. Anyone can add additional, customized, progression handlers. The 'progressr' package uses R's condition framework for signaling progress updated. Because of this, progress can be reported from almost anywhere in R, e.g. from classical for and while loops, from map-reduce APIs like the lapply() family of functions, 'purrr', 'plyr', and 'foreach'. It will also work with parallel processing via the 'future' framework, e.g. future.apply::future_lapply(), furrr::future_map(), and 'foreach' with 'doFuture'. The package is compatible with Shiny applications.
PackageName	R-progressr
PackageRelease	1.27
PackageVersion	0.6.0
SHA-1	0005B925FFF82B126F38E6F98CAD3EEFE1975561
SHA-256	BB88235F254ED974367268A7D95945CDA7AB9A189EA7B0E3E74F2AA0485C47C5

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	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