Result for B1569D1EB7BE28B1BF3187EE36ADF421D6D87E5F

Query result

Key Value
FileNamesnap-hashlookup-import/usr/lib/R/library/lattice/html/R.css
FileSize1335
MD5B6763E6916890C631FDC3F2643803B1A
RDS:package_id182052
SHA-1B1569D1EB7BE28B1BF3187EE36ADF421D6D87E5F
SHA-2560F4849AB1757247808D54DA2C371E992364371C942AD7D629DAE8D62327ED068
SHA-5121CB9B40CF54006EB72770210459EC0E2E742568D65464B42A0BD7EA1491748914A84C0D612E2DF2B4D55BB113AEEA6147A86A2AEB3EC31490A8B363767235419
SSDEEP24:UCSRunSTTWISCSh4S69zS6+iS6FDgS6ixS6F2oEixDOBiliCqR+hfOM:UCm4bIFfROi1Dgc175WiI6GM
TLSHT19121068682BF0C4A76778D093717D32A126C549FC84ECB3C3788BA548F51570639675D
insert-timestamp1728198679.5994117
mimetypetext/plain
sourcesnap:VCjprGsSZiPuV3CmQViE4TvPMKTOlaiL_119
tar:gnameroot
tar:unameroot
hashlookup:parent-total105717
hashlookup:trust100

Network graph view

Parents (Total: 105717)

The searched file hash is included in 105717 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD59247ADEA25FDC78EB7714C8B387B5855
PackageArchx86_64
PackageDescriptionImplements 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.
PackageNameR-robustrank
PackageReleaselp153.2.3
PackageVersion2019.9.10
SHA-100010F7302C37190DF2E079070F93AD1A1905B7D
SHA-256170A47D7451F91EBECBA2D9E3BCA60ACFF6F07894EE9C06B2D5D00BEC79D8443
Key Value
MD5CD44B5D47F5B8B41DC4F8593E2464E72
PackageArcharmv7hl
PackageDescriptionNormal Mixture Modeling fitted via EM algorithm for Model-Based Clustering, Classification, and Density Estimation, including Bayesian
PackageNameR-mclust
PackageRelease2.159
PackageVersion4.4
SHA-10003530BC038607E10A33EC093B6E0D0410DCF27
SHA-2567B4D13397BDCF6143CBFAFD4A63453A9FC838ECD9CA39A2F5C124D85A036201D
Key Value
MD537A8ACB359D85FC63CD696F12C153B5D
PackageArchx86_64
PackageDescriptionDrop-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.
PackageNameR-sys
PackageReleaselp153.2.3
PackageVersion3.4
SHA-10003DBD20758B6B6C02DB554CFAFB842E5CF3BD2
SHA-25697A53B4FFCCBCBE45030547CCA5C54F476E6B008BC309BFF8D75C16068065C59
Key Value
FileSize3951520
MD5FD13684087C34948AC976DAE24B40A9B
PackageDescriptionSubclonal copy number and LOH prediction from whole genome sequencing Hidden Markov model to segment and predict regions of subclonal copy number alterations (CNA) and loss of heterozygosity (LOH), and estimate cellular prevalence of clonal clusters in tumour whole genome sequencing data.
PackageMaintainerDebian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
PackageNamer-bioc-titancna
PackageSectiongnu-r
PackageVersion1.28.0-2
SHA-10003F184315C3FE37229EEC2DBDCBE7C922871AE
SHA-2560B8E04A60BC54400B3BC6B108B465D7B44A645CD6E51FEB3DC0010F664ADB793
Key Value
MD5BCA324BE9F7FB6721808C72FFC28AE31
PackageArchx86_64
PackageDescriptionAn R API wrapper for the 'Hystreet' project <https://hystreet.com>. 'Hystreet' provides pedestrian counts in different cities in Germany.
PackageNameR-hystReet
PackageReleaselp153.4.2
PackageVersion0.0.2
SHA-10004A57B771381D72846C56B5626A45C33E9B226
SHA-256A7F01D3D8152D49A78A07870489EB371EFC602F91BC166523B6B223DAA724747
Key Value
MD5DFF7FD5CE91CBAB4A28CC796FD3C7833
PackageArchx86_64
PackageDescriptionCalculate change point based on spectral clustering with the option to automatically calculate the number of clusters if this information is not available.
PackageNameR-SpecDetec
PackageReleaselp152.2.6
PackageVersion1.0.0
SHA-10004F27437E2C9A4A771E48D89ED1847B6735455
SHA-25672F9072C33B56DFAE8379D8C15230A5F5954209832371DA1AFDD998898EB23C7
Key Value
MD5733FB062F5D732F3AA27A56A1B4B1E43
PackageArchi586
PackageDescriptionThis package provides an Rcmdr "plug-in" based on the time series functions. Contributors: G. Jay Kerns, John Fox, and Richard Heiberger.
PackageNameR-RcmdrPlugin.epack
PackageRelease2.719
PackageVersion1.2.5
SHA-100055353D103351AF898182ED6CE2D566AD306A0
SHA-25692300CED467C1317DBB94A09B3EB5ED5F105AE4B2385C1B11360E2E8BE3887D0
Key Value
MD5FCAD640A2759F9B6EB42E5FB9189CF52
PackageArchi586
PackageDescriptionA 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.
PackageNameR-progressr
PackageRelease1.27
PackageVersion0.6.0
SHA-10005B925FFF82B126F38E6F98CAD3EEFE1975561
SHA-256BB88235F254ED974367268A7D95945CDA7AB9A189EA7B0E3E74F2AA0485C47C5
Key Value
MD57364B0D23B194C96BD96617F5509FE85
PackageArchx86_64
PackageDescriptionEstimate 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/>.
PackageNameR-yaps
PackageReleaselp153.1.3
PackageVersion1.2.5
SHA-10005ED5DF03D713EE07CF89E2B871F335632A4F1
SHA-256D498B7A9E540C765AF58C2692F6B61FED6C3E9D4F03E0E6728AE2D6CBBAC6664
Key Value
MD53F12AAD3ABC67A55B5BF2702B3414690
PackageArchx86_64
PackageDescriptionThe 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.
PackageNameR-rrapply
PackageReleaselp153.1.1
PackageVersion1.2.3
SHA-10006406B2B217D1809C95E2308AA694C274B0AC9
SHA-2564D5E120C5AE9EC1E9920D3C78DCF1124FEE208033594F520C1C9C2FD3D49D3BB