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     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
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/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/

Enter the query into the form above. You can look for specific version of a package by using @ symbol like this: gcc@10.

API method:

GET /api/packages?search=hello&page=1&limit=20

where search is your query, page is a page number and limit is a number of items on a single page. Pagination information (such as a number of pages and etc) is returned in response headers.

If you'd like to join our channel webring send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.


r-hann 1.2
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://github.com/emmanuelparadis/hann
Licenses: GPL 3
Build system: r
Synopsis: Hopfield Artificial Neural Networks
Description:

Builds and optimizes Hopfield artificial neural networks (Hopfield, 1982, <doi:10.1073/pnas.79.8.2554>). One-layer and three-layer models are implemented. The energy of the Hopfield network is minimized with formula from Krotov and Hopfield (2016, <doi:10.48550/ARXIV.1606.01164>). Optimization (supervised learning) is done through a gradient-based method. Classification is done with S3 methods predict(). Parallelization with OpenMP is used if available during compilation.

r-hdbma 1.0
Propagated dependencies: r-survival@3.8-3 r-r2jags@0.8-9 r-mass@7.3-65 r-lattice@0.22-7 r-gplots@3.2.0
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://www.r-project.org
Licenses: GPL 2+
Build system: r
Synopsis: Bayesian Mediation Analysis with High-Dimensional Data
Description:

Mediation analysis is used to identify and quantify intermediate effects from factors that intervene the observed relationship between an exposure/predicting variable and an outcome. We use a Bayesian adaptive lasso method to take care of the hierarchical structures and high dimensional exposures or mediators.

r-holobiont 0.1.3
Propagated dependencies: r-vegan@2.7-2 r-tibble@3.3.0 r-phytools@2.5-2 r-phyloseq@1.54.0 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-data-table@1.17.8 r-castor@1.8.4 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://cran.r-project.org/package=holobiont
Licenses: GPL 2
Build system: r
Synopsis: Microbiome Analysis Tools
Description:

We provide functions for identifying the core community phylogeny in any microbiome, drawing phylogenetic Venn diagrams, calculating the core Faithâ s PD for a set of communities, and calculating the core UniFrac distance between two sets of communities. All functions rely on construction of a core community phylogeny, which is a phylogeny where branches are defined based on their presence in multiple samples from a single type of habitat. Our package provides two options for constructing the core community phylogeny, a tip-based approach, where the core community phylogeny is identified based on incidence of leaf nodes and a branch-based approach, where the core community phylogeny is identified based on incidence of individual branches. We suggest use of the microViz package.

r-hdm 0.3.2
Propagated dependencies: r-mass@7.3-65 r-glmnet@4.1-10 r-ggplot2@4.0.1 r-formula@1.2-5 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://cran.r-project.org/package=hdm
Licenses: Expat
Build system: r
Synopsis: High-Dimensional Metrics
Description:

Implementation of selected high-dimensional statistical and econometric methods for estimation and inference. Efficient estimators and uniformly valid confidence intervals for various low-dimensional causal/ structural parameters are provided which appear in high-dimensional approximately sparse models. Including functions for fitting heteroscedastic robust Lasso regressions with non-Gaussian errors and for instrumental variable (IV) and treatment effect estimation in a high-dimensional setting. Moreover, the methods enable valid post-selection inference and rely on a theoretically grounded, data-driven choice of the penalty. Chernozhukov, Hansen, Spindler (2016) <arXiv:1603.01700>.

r-hdqr 1.0.2
Propagated dependencies: r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://cran.r-project.org/package=hdqr
Licenses: GPL 2
Build system: r
Synopsis: Fast Algorithm for Penalized Quantile Regression
Description:

This package implements an efficient algorithm for fitting the entire regularization path of quantile regression models with elastic-net penalties using a generalized coordinate descent scheme. The framework also supports SCAD and MCP penalties. It is designed for high-dimensional datasets and emphasizes numerical accuracy and computational efficiency. This package implements the algorithms proposed in Tang, Q., Zhang, Y., & Wang, B. (2022) <https://openreview.net/pdf?id=RvwMTDYTOb>.

r-hetools 1.0.0
Propagated dependencies: r-polynom@1.4-1
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://cran.r-project.org/package=HEtools
Licenses: Expat
Build system: r
Synopsis: Homomorphic Encryption Polynomials
Description:

Homomorphic encryption (Brakerski and Vaikuntanathan (2014) <doi:10.1137/120868669>) using Ring Learning with Errors (Lyubashevsky et al. (2012) <https://eprint.iacr.org/2012/230>) is a form of Learning with Errors (Regev (2005) <doi:10.1145/1060590.1060603>) using polynomial rings over finite fields. Functions to generate the required polynomials (using polynom'), with various distributions of coefficients are provided. Additionally, functions to generate and take coefficient modulo are provided.

r-hettest 1.0
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://cran.r-project.org/package=hettest
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Testing for a Treatment Effect Using a Heterogeneous Surrogate Marker
Description:

Tests for a treatment effect using surrogate marker information accounting for heterogeneity in the utility of the surrogate. Details are described in Parast et al (2022) <arXiv:2209.08315>.

r-hudr 1.2.0
Propagated dependencies: r-magrittr@2.0.4 r-janitor@2.2.1 r-httr@1.4.7 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://cran.r-project.org/package=hudr
Licenses: GPL 3+
Build system: r
Synopsis: Providing Data from the US Department of Housing and Urban Development
Description:

This package provides functions to access data from the US Department of Housing and Urban Development <https://www.huduser.gov/portal/dataset/fmr-api.html>.

r-hdme 0.6.0
Propagated dependencies: r-rlang@1.1.6 r-rglpk@0.6-5.1 r-rdpack@2.6.4 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-glmnet@4.1-10 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://github.com/osorensen/hdme
Licenses: GPL 3
Build system: r
Synopsis: High-Dimensional Regression with Measurement Error
Description:

Penalized regression for generalized linear models for measurement error problems (aka. errors-in-variables). The package contains a version of the lasso (L1-penalization) which corrects for measurement error (Sorensen et al. (2015) <doi:10.5705/ss.2013.180>). It also contains an implementation of the Generalized Matrix Uncertainty Selector, which is a version the (Generalized) Dantzig Selector for the case of measurement error (Sorensen et al. (2018) <doi:10.1080/10618600.2018.1425626>).

r-hadex2 1.0.0
Propagated dependencies: r-tidyr@1.3.1 r-stringi@1.8.7 r-remotes@2.5.0 r-readxl@1.4.5 r-readr@2.1.6 r-r3dmol@0.1.2 r-purrr@1.2.0 r-magick@2.9.0 r-gridextra@2.3 r-glue@1.8.0 r-ggplot2@4.0.1 r-ggiraph@0.9.2 r-dplyr@1.1.4 r-data-table@1.17.8 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://hadexversum.github.io/HaDeX2/
Licenses: GPL 3
Build system: r
Synopsis: Analysis and Visualisation of Hydrogen/Deuterium Exchange Mass Spectrometry Data
Description:

Processing, analysis and visualization of Hydrogen Deuterium eXchange monitored by Mass Spectrometry experiments (HDX-MS). HaDeX2 introduces a new standardized and reproducible workflow for the analysis of the HDX-MS data, including uncertainty propagation, data aggregation and visualization on 3D structure. Additionally, it covers data exploration, quality control and generation of publication-quality figures. All functionalities are also available in the accompanying shiny app.

r-h3o 0.3.0
Propagated dependencies: r-vctrs@0.6.5 r-rlang@1.1.6
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://github.com/extendr/h3o
Licenses: Expat
Build system: r
Synopsis: H3 Geospatial Indexing System
Description:

This package provides a dependency free interface to the H3 geospatial indexing system utilizing the Rust library h3o <https://github.com/HydroniumLabs/h3o> via the extendr library <https://github.com/extendr/extendr>.

r-h2o 3.44.0.3
Dependencies: openjdk@25
Propagated dependencies: r-rcurl@1.98-1.17 r-jsonlite@2.0.0
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://github.com/h2oai/h2o-3
Licenses: ASL 2.0
Build system: r
Synopsis: R Interface for the 'H2O' Scalable Machine Learning Platform
Description:

R interface for H2O', the scalable open source machine learning platform that offers parallelized implementations of many supervised and unsupervised machine learning algorithms such as Generalized Linear Models (GLM), Gradient Boosting Machines (including XGBoost), Random Forests, Deep Neural Networks (Deep Learning), Stacked Ensembles, Naive Bayes, Generalized Additive Models (GAM), ANOVA GLM, Cox Proportional Hazards, K-Means, PCA, ModelSelection, Word2Vec, as well as a fully automatic machine learning algorithm (H2O AutoML).

r-hubeau 0.5.2
Propagated dependencies: r-urltools@1.7.3.1 r-tibble@3.3.0 r-purrr@1.2.0 r-magrittr@2.0.4 r-httr@1.4.7 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://inrae.github.io/hubeau/
Licenses: Expat
Build system: r
Synopsis: Get Data from the French National Database on Water 'Hub'Eau'
Description:

Collection of functions to help retrieving data from Hub'Eau the free and public French National APIs on water <https://hubeau.eaufrance.fr/>.

r-hornpa 1.1.1
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://cran.r-project.org/package=hornpa
Licenses: GPL 3
Build system: r
Synopsis: Horn's (1965) Test to Determine the Number of Components/Factors
Description:

This package provides a stand-alone function that generates a user specified number of random datasets and computes eigenvalues using the random datasets (i.e., implements Horn's [1965, Psychometrika] parallel analysis <doi:10.1007/BF02289447>). Users then compare the resulting eigenvalues (the mean or the specified percentile) from the random datasets (i.e., eigenvalues resulting from noise) to the eigenvalues generated with the user's data. Can be used for both principal components analysis (PCA) and common/exploratory factor analysis (EFA). The output table shows how large eigenvalues can be as a result of merely using randomly generated datasets. If the user's own dataset has actual eigenvalues greater than the corresponding eigenvalues, that lends support to retain that factor/component. In other words, if the i(th) eigenvalue from the actual data was larger than the percentile of the (i)th eigenvalue generated using randomly generated data, empirical support is provided to retain that factor/component. Horn, J. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 32, 179-185.

r-hcmodelsets 1.1.3
Propagated dependencies: r-survival@3.8-3 r-mvtnorm@1.3-3 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://cran.r-project.org/package=HCmodelSets
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Regression with a Large Number of Potential Explanatory Variables
Description:

Software for performing the reduction, exploratory and model selection phases of the procedure proposed by Cox, D.R. and Battey, H.S. (2017) <doi:10.1073/pnas.1703764114> for sparse regression when the number of potential explanatory variables far exceeds the sample size. The software supports linear regression, likelihood-based fitting of generalized linear regression models and the proportional hazards model fitted by partial likelihood.

r-hmp 2.0.1
Propagated dependencies: r-vegan@2.7-2 r-rpart-plot@3.1.4 r-rpart@4.1.24 r-mass@7.3-65 r-lattice@0.22-7 r-gplots@3.2.0 r-ggplot2@4.0.1 r-foreach@1.5.2 r-doparallel@1.0.17 r-dirmult@0.1.3-5
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://cran.r-project.org/package=HMP
Licenses: ASL 2.0
Build system: r
Synopsis: Hypothesis Testing and Power Calculations for Comparing Metagenomic Samples from HMP
Description:

Using Dirichlet-Multinomial distribution to provide several functions for formal hypothesis testing, power and sample size calculations for human microbiome experiments.

r-hydroloom 1.1.1
Propagated dependencies: r-units@1.0-0 r-tidyr@1.3.1 r-sf@1.0-23 r-rlang@1.1.6 r-rann@2.6.2 r-pbapply@1.7-4 r-fastmap@1.2.0 r-dplyr@1.1.4 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://github.com/DOI-USGS/hydroloom
Licenses: CC0
Build system: r
Synopsis: Utilities to Weave Hydrologic Fabrics
Description:

This package provides a collection of utilities that support creation of network attributes for hydrologic networks. Methods and algorithms implemented are documented in Moore et al. (2019) <doi:10.3133/ofr20191096>), Cormen and Leiserson (2022) <ISBN:9780262046305> and Verdin and Verdin (1999) <doi:10.1016/S0022-1694(99)00011-6>.

r-hashids 0.9.0
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://github.com/ALShum/hashids-r/
Licenses: Expat
Build system: r
Synopsis: Generate Short Unique YouTube-Like IDs (Hashes) from Integers
Description:

An R port of the hashids library. hashids generates YouTube-like hashes from integers or vector of integers. Hashes generated from integers are relatively short, unique and non-seqential. hashids can be used to generate unique ids for URLs and hide database row numbers from the user. By default hashids will avoid generating common English cursewords by preventing certain letters being next to each other. hashids are not one-way: it is easy to encode an integer to a hashid and decode a hashid back into an integer.

r-hydreng 1.0.0
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://github.com/NiccoloGalatioto/hydReng
Licenses: GPL 3
Build system: r
Synopsis: Hydraulic Engineering Tools
Description:

The hydReng package provides a set of functions for hydraulic engineering tasks and natural hazard assessments. It includes basic hydraulics (wetted area, wetted perimeter, flow, flow velocity, flow depth, and maximum flow) for open channels with arbitrary geometry under uniform flow conditions. For structures such as circular pipes, weirs, and gates, the package includes calculations for pressure flow, backwater depth, and overflow over a weir crest. Additionally, it provides formulas for calculating bedload transport. The formulas used can be found in standard literature on hydraulics, such as Bollrich (2019, ISBN:978-3-410-29169-5) or Hager (2011, ISBN:978-3-642-77430-0).

r-hatchr 1.0.1
Propagated dependencies: r-tibble@3.3.0 r-rlang@1.1.6 r-lubridate@1.9.4 r-lifecycle@1.0.4 r-ggtext@0.1.2 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://bmait101.github.io/hatchR/
Licenses: GPL 3
Build system: r
Synopsis: Predict Fish Hatch and Emergence Timing
Description:

Predict hatch and emergence timing for a wide range of wild fishes using the effective value framework (Sparks et al., (2019) <DOI:10.1139/cjfas-2017-0468>). hatchR offers users access to established phenological models and the flexibility to incorporate custom parameterizations using external datasets.

r-higrad 0.1.0
Propagated dependencies: r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://cran.r-project.org/package=higrad
Licenses: GPL 3
Build system: r
Synopsis: Statistical Inference for Online Learning and Stochastic Approximation via HiGrad
Description:

This package implements the Hierarchical Incremental GRAdient Descent (HiGrad) algorithm, a first-order algorithm for finding the minimizer of a function in online learning just like stochastic gradient descent (SGD). In addition, this method attaches a confidence interval to assess the uncertainty of its predictions. See Su and Zhu (2018) <arXiv:1802.04876> for details.

r-hyporf 1.0.1
Propagated dependencies: r-ranger@0.17.0
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://cran.r-project.org/package=hypoRF
Licenses: GPL 3
Build system: r
Synopsis: Random Forest Two-Sample Tests
Description:

An implementation of Random Forest-based two-sample tests as introduced in Hediger & Michel & Naef (2022).

r-hypothesis 1.1.0
Propagated dependencies: r-rlang@1.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-htmlwidgets@1.6.4 r-htmltools@0.5.8.1 r-glue@1.8.0
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://cran.r-project.org/package=hypothesis
Licenses: Expat
Build system: r
Synopsis: Wrapper for 'hypothes.is'
Description:

Add, share and manage annotations for Shiny applications and R Markdown documents via hypothes.is'.

r-hkrbook 0.1.3
Propagated dependencies: r-shinywidgets@0.9.0 r-shinydashboardplus@2.0.6 r-shinydashboard@0.7.3 r-shiny@1.11.1 r-scatterplot3d@0.3-44 r-mass@7.3-65 r-highlight@0.5.1 r-formatr@1.14 r-dt@0.34.0
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://cran.r-project.org/package=HKRbook
Licenses: GPL 3
Build system: r
Synopsis: Apps and Data for the Book "Introduction to Statistics"
Description:

Functions, Shiny apps and data for the book "Introduction to Statistics" by Wolfgang Karl Härdle, Sigbert Klinke, and Bernd Rönz (2015) <doi:10.1007/978-3-319-17704-5>.

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