_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-visstatistics 0.1.1
Propagated dependencies: r-vcd@1.4-13 r-nortest@1.0-4 r-multcompview@0.1-10 r-cairo@1.6-2
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://cran.r-project.org/package=visStatistics
Licenses: Expat
Synopsis: Automated Visualization of Statistical Tests
Description:

Visualization of the most powerful statistical hypothesis test. The function vistat() visualizes the statistical hypothesis testing between the dependent variable (response) varsample and the independent variable (feature) varfactor. The statistical hypothesis test (including the eventual corresponding post-hoc analysis) with the highest statistical power fulfilling the assumptions of the corresponding test is chosen based on a decision tree. A graph displaying the raw data accordingly to the chosen test is generated, the test statistics including eventual post-hoc-analysis are returned. The automated workflow is especially suited for browser based interfaces to server-based deployments of R. Implemented tests: lm(), t.test(), wilcox.test(), aov(), kruskal.test(), fisher.test(), chisqu.test(). Implemented tests to check the normal distribution of standardized residuals: shapiro.test() and ad.test(). Implemented post-hoc tests: TukeyHSD() for aov() and pairwise.wilcox.test() for kruskal.test(). For the comparison of averages, the following algorithm is implemented: If the p-values of the standardized residuals of both shapiro.test() or ad.test() are smaller than 1-conf.level, kruskal.test() resp. wilcox.test() are performed, otherwise the oneway.test() and aov() resp. t.test() are performed and displayed. Exception: If the sample size is bigger than 100, t.test() is always performed and wilcox.test() is never executed (Lumley et al. (2002) <doi:10.1146/annurev.publhealth.23.100901.140546>). For the test of independence of count data, Cochran's rule (Cochran (1954) <doi:10.2307/3001666>) is implemented: If more than 20 percent of all cells have a count smaller than 5, fisher.test() is performed and displayed, otherwise chisqu.test(). In both cases case an additional mosaic plot is generated.

r-bayesctdesign 0.6.1
Propagated dependencies: r-survival@3.7-0 r-reshape2@1.4.4 r-ggplot2@3.5.1 r-eha@2.11.5
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/begglest/BayesCTDesign
Licenses: GPL 3
Synopsis: Two Arm Bayesian Clinical Trial Design with and Without Historical Control Data
Description:

This package provides a set of functions to help clinical trial researchers calculate power and sample size for two-arm Bayesian randomized clinical trials that do or do not incorporate historical control data. At some point during the design process, a clinical trial researcher who is designing a basic two-arm Bayesian randomized clinical trial needs to make decisions about power and sample size within the context of hypothesized treatment effects. Through simulation, the simple_sim() function will estimate power and other user specified clinical trial characteristics at user specified sample sizes given user defined scenarios about treatment effect,control group characteristics, and outcome. If the clinical trial researcher has access to historical control data, then the researcher can design a two-arm Bayesian randomized clinical trial that incorporates the historical data. In such a case, the researcher needs to work through the potential consequences of historical and randomized control differences on trial characteristics, in addition to working through issues regarding power in the context of sample size, treatment effect size, and outcome. If a researcher designs a clinical trial that will incorporate historical control data, the researcher needs the randomized controls to be from the same population as the historical controls. What if this is not the case when the designed trial is implemented? During the design phase, the researcher needs to investigate the negative effects of possible historic/randomized control differences on power, type one error, and other trial characteristics. Using this information, the researcher should design the trial to mitigate these negative effects. Through simulation, the historic_sim() function will estimate power and other user specified clinical trial characteristics at user specified sample sizes given user defined scenarios about historical and randomized control differences as well as treatment effects and outcomes. The results from historic_sim() and simple_sim() can be printed with print_table() and graphed with plot_table() methods. Outcomes considered are Gaussian, Poisson, Bernoulli, Lognormal, Weibull, and Piecewise Exponential. The methods are described in Eggleston et al. (2021) <doi:10.18637/jss.v100.i21>.

r-phagecocktail 1.0.3
Propagated dependencies: r-stringr@1.5.1 r-smerc@1.8.4 r-rjsonio@1.3-1.9 r-readxl@1.4.3 r-factoextra@1.0.7 r-bipartite@2.20
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PhageCocktail
Licenses: GPL 3
Synopsis: Design of the Best Phage Cocktail
Description:

There are 4 possible methods: "ExhaustiveSearch"; "ExhaustivePhi"; "ClusteringSearch"; and "ClusteringPhi". "ExhaustiveSearch"--> gives you the best phage cocktail from a phage-bacteria infection network. It checks different phage cocktail sizes from 1 to 7 and only stops before if it lyses all bacteria. Other option is when users have decided not to obtain a phage cocktail size higher than a limit value. "ExhaustivePhi"--> firstly, it finds Phi out. Phi is a formula indicating the necessary phage cocktail size. Phi needs nestedness temperature and fill, which are internally calculated. This function will only look for the best combination (phage cocktail) with a Phi size. "ClusteringSearch"--> firstly, an agglomerative hierarchical clustering using Ward's algorithm is calculated for phages. They will be clustered according to bacteria lysed by them. PhageCocktail() chooses how many clusters are needed in order to select 1 phage per cluster. Using the phages selected during the clustering, it checks different phage cocktail sizes from 1 to 7 and only stops before if it lyses all bacteria. Other option is when users have decided not to obtain a phage cocktail size higher than a limit value. "ClusteringPhi"--> firstly, an agglomerative hierarchical clustering using Ward's algorithm is calculated for phages. They will be clustered according to bacteria lysed by them. PhageCocktail() chooses how many clusters are needed in order to select 1 phage per cluster. Once the function has one phage per cluster, it calculates Phi. If the number of clusters is less than Phi number, it will be changed to obtain, as minimum, this quantity of candidates (phages). Then, it calculates the best combination of Phi phages using those selected during the clustering with Ward algorithm. If you use PhageCocktail, please cite it as: "PhageCocktail: An R Package to Design Phage Cocktails from Experimental Phage-Bacteria Infection Networks". Marà a Victoria Dà az-Galián, Miguel A. Vega-Rodrà guez, Felipe Molina. Computer Methods and Programs in Biomedicine, 221, 106865, Elsevier Ireland, Clare, Ireland, 2022, pp. 1-9, ISSN: 0169-2607. <doi:10.1016/j.cmpb.2022.106865>.

r-compositional 7.3
Propagated dependencies: r-sn@2.1.1 r-rnanoflann@0.0.3 r-rfast2@0.1.5.3 r-rfast@2.1.0 r-quantreg@5.99 r-quadprog@1.5-8 r-nnet@7.3-19 r-mixture@2.1.1 r-minpack-lm@1.2-4 r-mda@0.5-5 r-matrix@1.7-1 r-mass@7.3-61 r-glmnet@4.1-8 r-foreach@1.5.2 r-energy@1.7-12 r-emplik@1.3-1 r-doparallel@1.0.17 r-cluster@2.1.6 r-bigstatsr@1.6.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=Compositional
Licenses: GPL 2+
Synopsis: Compositional Data Analysis
Description:

Regression, classification, contour plots, hypothesis testing and fitting of distributions for compositional data are some of the functions included. We further include functions for percentages (or proportions). The standard textbook for such data is John Aitchison's (1986) "The statistical analysis of compositional data". Relevant papers include: a) Tsagris M.T., Preston S. and Wood A.T.A. (2011). "A data-based power transformation for compositional data". Fourth International International Workshop on Compositional Data Analysis. <doi:10.48550/arXiv.1106.1451> b) Tsagris M. (2014). "The k-NN algorithm for compositional data: a revised approach with and without zero values present". Journal of Data Science, 12(3): 519--534. <doi:10.6339/JDS.201407_12(3).0008>. c) Tsagris M. (2015). "A novel, divergence based, regression for compositional data". Proceedings of the 28th Panhellenic Statistics Conference, 15-18 April 2015, Athens, Greece, 430--444. <doi:10.48550/arXiv.1511.07600>. d) Tsagris M. (2015). "Regression analysis with compositional data containing zero values". Chilean Journal of Statistics, 6(2): 47--57. <https://soche.cl/chjs/volumes/06/02/Tsagris(2015).pdf>. e) Tsagris M., Preston S. and Wood A.T.A. (2016). "Improved supervised classification for compositional data using the alpha-transformation". Journal of Classification, 33(2): 243--261. <doi:10.1007/s00357-016-9207-5>. f) Tsagris M., Preston S. and Wood A.T.A. (2017). "Nonparametric hypothesis testing for equality of means on the simplex". Journal of Statistical Computation and Simulation, 87(2): 406--422. <doi:10.1080/00949655.2016.1216554>. g) Tsagris M. and Stewart C. (2018). "A Dirichlet regression model for compositional data with zeros". Lobachevskii Journal of Mathematics, 39(3): 398--412. <doi:10.1134/S1995080218030198>. h) Alenazi A. (2019). "Regression for compositional data with compositional data as predictor variables with or without zero values". Journal of Data Science, 17(1): 219--238. <doi:10.6339/JDS.201901_17(1).0010>. i) Tsagris M. and Stewart C. (2020). "A folded model for compositional data analysis". Australian and New Zealand Journal of Statistics, 62(2): 249--277. <doi:10.1111/anzs.12289>. j) Alenazi A.A. (2022). "f-divergence regression models for compositional data". Pakistan Journal of Statistics and Operation Research, 18(4): 867--882. <doi:10.18187/pjsor.v18i4.3969>. k) Tsagris M. and Stewart C. (2022). "A Review of Flexible Transformations for Modeling Compositional Data". In Advances and Innovations in Statistics and Data Science, pp. 225--234. <doi:10.1007/978-3-031-08329-7_10>. l) Alenazi A. (2023). "A review of compositional data analysis and recent advances". Communications in Statistics--Theory and Methods, 52(16): 5535--5567. <doi:10.1080/03610926.2021.2014890>. m) Tsagris M., Alenazi A. and Stewart C. (2023). "Flexible non-parametric regression models for compositional response data with zeros". Statistics and Computing, 33(106). <doi:10.1007/s11222-023-10277-5>. n) Tsagris. M. (2025). "Constrained least squares simplicial-simplicial regression". Statistics and Computing, 35(27). <doi:10.1007/s11222-024-10560-z>. o) Sevinc V. and Tsagris. M. (2024). "Energy Based Equality of Distributions Testing for Compositional Data". <doi:10.48550/arXiv.2412.05199>.

rtl-bt-firmware 20250410
Channel: nonguix
Location: nongnu/packages/linux.scm (nongnu packages linux)
Home page: https://wireless.wiki.kernel.org/en/users/drivers/rtl819x
Licenses: Nonfree⚠
Synopsis: Nonfree firmware for Realtek ethernet, wifi, and bluetooth chips
Description:

Nonfree firmware for Realtek ethernet, wifi, and Bluetooth chips. This package contains nonfree firmware for the following chips:

  • Realtek RTL8188EE firmware (rtlwifi/rtl8188efw.bin)

  • Realtek RTL8188EU firmware (rtlwifi/rtl8188eufw.bin)

  • Realtek RTL8192CE/RTL8188CE firmware (rtlwifi/rtl8192cfw.bin)

  • Realtek RTL8192CE/RTL8188CE B-cut firmware (rtlwifi/rtl8192cfwU_B.bin)

  • Realtek RTL8188CE A-cut firmware, version 4.816.2011 (rtlwifi/rtl8192cfwU.bin)

  • Realtek RTL8192CU/RTL8188CU UMC A-cut firmware (rtlwifi/rtl8192cufw_A.bin)

  • Realtek RTL8192CU/RTL8188CU UMC B-cut firmware (rtlwifi/rtl8192cufw_B.bin)

  • Realtek RTL8192CU/RTL8188CU TMSC firmware (rtlwifi/rtl8192cufw_TMSC.bin)

  • Realtek RTL8192CU/RTL8188CU fallback firmware (rtlwifi/rtl8192cufw.bin)

  • Realtek RTL8192DE firmware (rtlwifi/rtl8192defw.bin)

  • Realtek RTL8192EE wifi firmware (rtlwifi/rtl8192eefw.bin)

  • Realtek RTL8192EU non-WoWLAN firmware (rtlwifi/rtl8192eu_nic.bin)

  • Realtek RTL8192EU WoWLAN firmware (rtlwifi/rtl8192eu_wowlan.bin)

  • Realtek RTL8192SE/RTL8191SE firmware, version 4.816.2011 (rtlwifi/rtl8192sefw.bin)

  • Realtek RTL8192SU/RTL8712U firmware (rtlwifi/rtl8712u.bin)

  • Realtek RTL8723AU rev A wifi-with-BT firmware (rtlwifi/rtl8723aufw_A.bin)

  • Realtek RTL8723AU rev B wifi-with-BT firmware (rtlwifi/rtl8723aufw_B.bin)

  • Realtek RTL8723AU rev B wifi-only firmware (rtlwifi/rtl8723aufw_B_NoBT.bin)

  • Realtek RTL8723BE firmware, version 36 (rtlwifi/rtl8723befw_36.bin)

  • Realtek RTL8723BE firmware (rtlwifi/rtl8723befw.bin)

  • Realtek RTL8723BS BT firmware (rtlwifi/rtl8723bs_bt.bin)

  • Realtek RTL8723BS wifi non-WoWLAN firmware (rtlwifi/rtl8723bs_nic.bin)

  • Realtek RTL8723BS wifi WoWLAN firmware (rtlwifi/rtl8723bs_wowlan.bin)

  • Realtek RTL8723BU non-WoWLAN firmware (rtlwifi/rtl8723bu_nic.bin)

  • Realtek RTL8723BU WoWLAN firmware (rtlwifi/rtl8723bu_wowlan.bin)

  • Realtek RTL8723DE firmware (rtlwifi/rtl8723defw.bin)

  • Realtek RTL8723AE rev B firmware (rtlwifi/rtl8723fw_B.bin)

  • Realtek RTL8723AE rev A firmware (rtlwifi/rtl8723fw.bin)

  • Realtek RTL8821AE firmware, version 29 (rtlwifi/rtl8821aefw_29.bin)

  • Realtek RTL8821AE firmware (rtlwifi/rtl8821aefw_wowlan.bin)

  • Realtek RTL8821AE firmware (rtlwifi/rtl8821aefw.bin)

  • Realtek RTL8822BE firmware (rtlwifi/rtl8822befw.bin)

  • Realtek RTL8105E-1 firmware (rtl_nic/rtl8105e-1.fw)

  • Realtek RTL8106E-1 firmware, version 0.0.1 (rtl_nic/rtl8106e-1.fw)

  • Realtek RTL8106E-2 firmware, version 0.0.1 (rtl_nic/rtl8106e-2.fw)

  • Realtek RTL8107E-1 firmware, version 0.0.2 (rtl_nic/rtl8107e-1.fw)

  • Realtek RTL8107E-2 firmware, version 0.0.2 (rtl_nic/rtl8107e-2.fw)

  • Realtek RTL8111D-1/RTL8168D-1 firmware (rtl_nic/rtl8168d-1.fw)

  • Realtek RTL8111D-2/RTL8168D-2 firmware (rtl_nic/rtl8168d-2.fw)

  • Realtek RTL8168E-1 firmware (rtl_nic/rtl8168e-1.fw)

  • Realtek RTL8168E-2 firmware (rtl_nic/rtl8168e-2.fw)

  • Realtek RTL8168E-3 firmware, version 0.0.4 (rtl_nic/rtl8168e-3.fw)

  • Realtek RTL8168F-1 firmware, version 0.0.5 (rtl_nic/rtl8168f-1.fw)

  • Realtek RTL8168F-2 firmware, version 0.0.4 (rtl_nic/rtl8168f-2.fw)

  • Realtek RTL8168G-1 firmware, version 0.0.3 (rtl_nic/rtl8168g-1.fw)

  • Realtek RTL8168G-2 firmware, version 0.0.1 (rtl_nic/rtl8168g-2.fw)

  • Realtek RTL8168G-3 firmware, version 0.0.1 (rtl_nic/rtl8168g-3.fw)

  • Realtek RTL8168H-1 firmware, version 0.0.2 (rtl_nic/rtl8168h-1.fw)

  • Realtek RTL8168H-2 firmware, version 0.0.2 (rtl_nic/rtl8168h-2.fw)

  • Realtek RTL8402-1 firmware, version 0.0.1 (rtl_nic/rtl8402-1.fw)

  • Realtek RTL8411-1 firmware, version 0.0.3 (rtl_nic/rtl8411-1.fw)

  • Realtek RTL8411-2 firmware, version 0.0.1 (rtl_nic/rtl8411-2.fw)

  • Realtek RTL8192EE Bluetooth firmware (rtl_bt/rtl8192ee_fw.bin)

  • Realtek RTL8812AE Bluetooth firmware (rtl_bt/rtl8812ae_fw.bin)

  • Realtek RTL8761A Bluetooth firmware (rtl_bt/rtl8761a_fw.bin)

  • Realtek RTL8821A Bluetooth firmware (rtl_bt/rtl8821a_fw.bin)

  • Realtek RTL8192EU Bluetooth firmware (rtl_bt/rtl8192eu_fw.bin)

  • Realtek RTL8723AU rev A Bluetooth firmware (rtl_bt/rtl8723a_fw.bin)

  • Realtek RTL8723BU rev B Bluetooth firmware (rtl_bt/rtl8723b_fw.bin)

  • Realtek RTL8723D Bluetooth config (rtl_bt/rtl8723d_config.bin)

  • Realtek RTL8723D Bluetooth firmware (rtl_bt/rtl8723d_fw.bin)

  • Realtek RTL8821C Bluetooth config (rtl_bt/rtl8821c_config.bin)

  • Realtek RTL8821C Bluetooth firmware (rtl_bt/rtl8821c_fw.bin)

  • Realtek RTL8822B Bluetooth config (rtl_bt/rtl8822b_config.bin)

  • Realtek RTL8822B Bluetooth firmware (rtl_bt/rtl8822b_fw.bin)

  • Realtek RTL8822CU Bluetooth firmware (rtl_bt/rtl8822cu_fw.bin)

rust-runtime-raw 0.3.0-alpha.5
Channel: guix
Location: gnu/packages/crates-io.scm (gnu packages crates-io)
Home page: https://github.com/rustasync/runtime
Licenses: Expat ASL 2.0
Synopsis: Traits to implement custom Runtimes
Description:

This package provides traits to implement custom Runtimes.

rust-rustc-rayon 0.5.0
Channel: hui
Location: hui/packages/embedded.scm (hui packages embedded)
Home page: https://github.com/rust-lang/rustc-rayon
Licenses: Expat ASL 2.0
Synopsis: Simple work-stealing parallelism for Rust - fork for rustc
Description:

Simple work-stealing parallelism for Rust - fork for rustc

rust-rkyv-derive 0.7.36
Channel: guixrus
Location: guixrus/packages/common/rust.scm (guixrus packages common rust)
Home page: https://github.com/rkyv/rkyv
Licenses: Expat
Synopsis: Derive macro for rkyv
Description:

Derive macro for rkyv

rust-rkyv-derive 0.7.42
Channel: hui
Location: hui/packages/embedded.scm (hui packages embedded)
Home page: https://github.com/rkyv/rkyv
Licenses: Expat
Synopsis: Derive macro for rkyv
Description:

Derive macro for rkyv

ruby-ember-rails 0.21.0
Propagated dependencies: ruby-active-model-adapter-source@2.1.1 ruby-active-model-serializers@0.10.12 ruby-ember-cli-assets@0.0.37 ruby-ember-data-source@3.0.2 ruby-ember-es6-template@0.7.0 ruby-ember-handlebars-template@0.8.0 ruby-ember-source@2.18.2 ruby-jquery-rails@4.4.0 ruby-railties@7.0.5.1
Channel: gn-bioinformatics
Location: gn/packages/ruby.scm (gn packages ruby)
Home page: https://github.com/emberjs/ember-rails
Licenses: Expat
Synopsis: Ember for Rails 3.1+
Description:

Ember for Rails 3.1+

ruby-sassc-rails 2.1.2
Propagated dependencies: ruby-railties@7.0.5.1 ruby-sassc@2.4.0 ruby-sprockets@4.2.0 ruby-sprockets-rails@3.4.2 ruby-tilt@2.0.11
Channel: gn-bioinformatics
Location: gn/packages/ruby.scm (gn packages ruby)
Home page: https://github.com/sass/sassc-rails
Licenses: Expat
Synopsis: Integrate SassC-Ruby into Rails.
Description:

Integrate SassC-Ruby into Rails.

r-rchoicedialogs 1.0.6.1
Propagated dependencies: r-rjava@1.0-11
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rChoiceDialogs
Licenses: LGPL 2.1+
Synopsis: 'rChoiceDialogs' Collection
Description:

Collection of portable choice dialog widgets.

ruby-rspec-rerun 1.1.0
Propagated dependencies: ruby-rspec@3.12.0
Channel: guix
Location: gnu/packages/ruby.scm (gnu packages ruby)
Home page: https://github.com/dblock/rspec-rerun
Licenses: Expat
Synopsis: Track failed RSpec tests to re-run them
Description:

This package provides an automated way to track, and then re-run failed RSpec tests.

rust-range-alloc 0.1.3
Channel: lauras-channel
Location: laura/packages/rust-common.scm (laura packages rust-common)
Home page: https://github.com/gfx-rs/range-alloc
Licenses: Expat ASL 2.0
Synopsis: Generic range allocator
Description:

This package provides Generic range allocator.

rust-graphene-rs 0.18.1
Dependencies: glib@2.82.1 graphene@1.10.8
Channel: guix
Location: gnu/packages/crates-gtk.scm (gnu packages crates-gtk)
Home page: https://gtk-rs.org/
Licenses: Expat
Synopsis: Rust bindings for the Graphene library
Description:

Rust bindings for the Graphene library.

rust-graphene-rs 0.19.8
Dependencies: glib@2.82.1 graphene@1.10.8
Channel: guix
Location: gnu/packages/crates-gtk.scm (gnu packages crates-gtk)
Home page: https://gtk-rs.org/
Licenses: Expat
Synopsis: Rust bindings for the Graphene library
Description:

Rust bindings for the Graphene library.

rust-tokio-retry 0.3.0
Channel: hitwright
Location: packages/rust-tokio-retry.scm (packages rust-tokio-retry)
Home page: https://github.com/srijs/rust-tokio-retry
Licenses: Expat
Synopsis: Extensible, asynchronous retry behaviours for futures/tokio
Description:

Extensible, asynchronous retry behaviours for futures/tokio

r-rateratio-test 1.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rateratio.test
Licenses: GPL 3
Synopsis: Exact Rate Ratio Test
Description:

This package performs exact rate ratio tests.

rust-partial-ref 0.3.3
Channel: guix
Location: gnu/packages/crates-io.scm (gnu packages crates-io)
Home page: https://github.com/jix/partial_ref
Licenses: Expat ASL 2.0
Synopsis: Type checked partial references
Description:

This package provides type checked partial references.

rust-rand-chacha 0.9.0
Channel: selected-guix-works
Location: selected-guix-works/packages/crates-io.scm (selected-guix-works packages crates-io)
Home page: https://crates.io/crates/rand_chacha
Licenses: Expat ASL 2.0
Synopsis: ChaCha random number generator
Description:

This package provides the ChaCha random number generator.

rust-rust-argon2 2.0.0
Channel: hitwright
Location: packages/veloren.scm (packages veloren)
Home page: https://github.com/sru-systems/rust-argon2
Licenses: Expat ASL 2.0
Synopsis: Rust implementation of the Argon2 password hashing function.
Description:

Rust implementation of the Argon2 password hashing function.

rust-regex-cache 0.2.1
Channel: guix
Location: gnu/packages/crates-io.scm (gnu packages crates-io)
Home page: https://github.com/1aim/rust-regex-cache
Licenses: Expat
Synopsis: Lazy and cached regular expressions
Description:

This package provides lazy and cached regular expressions.

rust-rand-chacha 0.3.1
Channel: guix
Location: gnu/packages/crates-io.scm (gnu packages crates-io)
Home page: https://crates.io/crates/rand_chacha
Licenses: Expat ASL 2.0
Synopsis: ChaCha random number generator
Description:

This package provides the ChaCha random number generator.

rust-rand-chacha 0.2.2
Channel: guix
Location: gnu/packages/crates-io.scm (gnu packages crates-io)
Home page: https://crates.io/crates/rand_chacha
Licenses: Expat ASL 2.0
Synopsis: ChaCha random number generator
Description:

This package provides the ChaCha random number generator.

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Total results: 36249