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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-h5lite 2.0.0.2
Propagated dependencies: r-hdf5lib@2.0.0.5
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://github.com/cmmr/h5lite
Licenses: Expat
Build system: r
Synopsis: Simplified 'HDF5' Interface
Description:

This package provides a user-friendly interface for the Hierarchical Data Format 5 ('HDF5') library designed to "just work." It bundles the necessary system libraries to ensure easy installation on all platforms. Features smart defaults that automatically map R objects (vectors, matrices, data frames) to efficient HDF5 types, removing the need to manage low-level details like dataspaces or property lists. Uses the HDF5 library developed by The HDF Group <https://www.hdfgroup.org/>.

r-hsdm 1.4.4
Dependencies: gsl@2.8
Propagated dependencies: r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://ecology.ghislainv.fr/hSDM/
Licenses: GPL 3
Build system: r
Synopsis: Hierarchical Bayesian Species Distribution Models
Description:

User-friendly and fast set of functions for estimating parameters of hierarchical Bayesian species distribution models (Latimer and others 2006 <doi:10.1890/04-0609>). Such models allow interpreting the observations (occurrence and abundance of a species) as a result of several hierarchical processes including ecological processes (habitat suitability, spatial dependence and anthropogenic disturbance) and observation processes (species detectability). Hierarchical species distribution models are essential for accurately characterizing the environmental response of species, predicting their probability of occurrence, and assessing uncertainty in the model results.

r-hysaint 1.2.1
Propagated dependencies: r-variablescreening@0.2.1 r-sis@0.8-8 r-selectiveinference@1.2.5 r-pracma@2.4.6 r-matrix@1.7-4 r-energy@1.7-12
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://cran.r-project.org/package=hySAINT
Licenses: GPL 2
Build system: r
Synopsis: Hybrid Genetic and Simulated Annealing Algorithm for High Dimensional Linear Models with Interaction Effects
Description:

We provide a stage-wise selection method using genetic algorithms, designed to efficiently identify main and two-way interactions within high-dimensional linear regression models. Additionally, it implements simulated annealing algorithm during the mutation process. The relevant paper can be found at: Ye, C.,and Yang,Y. (2019) <doi:10.1109/TIT.2019.2913417>.

r-healthdb 0.5.0
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-rlang@1.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-lubridate@1.9.4 r-glue@1.8.0 r-dplyr@1.1.4 r-dbplyr@2.5.1 r-data-table@1.17.8 r-clock@0.7.3
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://github.com/KevinHzq/healthdb
Licenses: Expat
Build system: r
Synopsis: Working with Healthcare Databases
Description:

This package provides a system for identifying diseases or events from healthcare databases and preparing data for epidemiological studies. It includes capabilities not supported by SQL', such as matching strings by stringr style regular expressions, and can compute comorbidity scores (Quan et al. (2005) <doi:10.1097/01.mlr.0000182534.19832.83>) directly on a database server. The implementation is based on dbplyr with full tidyverse compatibility.

r-hazer 1.1.1
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://github.com/bnasr/hazer/
Licenses: AGPL 3 FSDG-compatible
Build system: r
Synopsis: Identifying Foggy and Cloudy Images by Quantifying Haziness
Description:

This package provides a set of functions to estimate haziness of an image based on RGB bands. It returns a haze factor, varying from 0 to 1, a metric for fogginess and cloudiness. The package also presents additional functions to estimate brightness, darkness and contrast rasters of the RGB image. This package can be used for several applications such as inference of weather quality data and performing environmental studies from interpreting digital images.

r-highriskzone 1.4.9
Propagated dependencies: r-splancs@2.01-45 r-spatstat-random@3.4-3 r-spatstat-geom@3.6-1 r-spatstat-explore@3.6-0 r-spatstat@3.4-1 r-polyclip@1.10-7 r-mvtnorm@1.3-3 r-matrix@1.7-4 r-maps@3.4.3 r-ks@1.15.1 r-fields@17.1 r-deldir@2.0-4
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://cran.r-project.org/package=highriskzone
Licenses: Expat
Build system: r
Synopsis: Determining and Evaluating High-Risk Zones
Description:

This package provides functions for determining and evaluating high-risk zones and simulating and thinning point process data, as described in Determining high risk zones using point process methodology - Realization by building an R package Seibold (2012) <http://highriskzone.r-forge.r-project.org/Bachelorarbeit.pdf> and Determining high-risk zones for unexploded World War II bombs by using point process methodology', Mahling et al. (2013) <doi:10.1111/j.1467-9876.2012.01055.x>.

r-honestdid 0.2.6
Propagated dependencies: r-truncatednormal@2.3 r-tibble@3.3.0 r-rlang@1.1.6 r-rglpk@0.6-5.1 r-purrr@1.2.0 r-pracma@2.4.6 r-mvtnorm@1.3-3 r-matrixstats@1.5.0 r-matrix@1.7-4 r-lpsolveapi@5.5.2.0-17.14 r-latex2exp@0.9.6 r-ggplot2@4.0.1 r-foreach@1.5.2 r-dplyr@1.1.4 r-cvxr@1.0-15
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://cran.r-project.org/package=HonestDiD
Licenses: Expat
Build system: r
Synopsis: Robust Inference in Difference-in-Differences and Event Study Designs
Description:

This package provides functions to conduct robust inference in difference-in-differences and event study designs by implementing the methods developed in Rambachan & Roth (2023) <doi:10.1093/restud/rdad018>, "A More Credible Approach to Parallel Trends" [Previously titled "An Honest Approach..."]. Inference is conducted under a weaker version of the parallel trends assumption. Uniformly valid confidence sets are constructed based upon conditional confidence sets, fixed-length confidence sets and hybridized confidence sets.

r-heatindex 0.0.2
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://heatindex.org
Licenses: Expat
Build system: r
Synopsis: Calculating Heat Stress
Description:

This package implements the simpler and faster heat index, which matches the values of the original 1979 heat index and its 2022 extension for air temperatures above 300 K (27 C, 80 F) and with only minor differences at lower temperatures. Also implements an algorithm for calculating the thermodynamic (and psychrometric) wet-bulb (and ice-bulb) temperature.

r-hotspots 1.0.5
Propagated dependencies: r-lattice@0.22-7 r-ineq@0.2-13
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://cran.r-project.org/package=hotspots
Licenses: GPL 2
Build system: r
Synopsis: Hot Spots
Description:

The hotspots package is designed to look within a set of measured values of a variable and identify values that are disproportionately high based on both the deviance of any given value from a statistical distribution and its similarity to other values. Because this relative magnitude of each value is taken into account, a value that is a statistical outlier may not always be a hot spot if other values are similarly large.

r-hadex 1.2.3
Propagated dependencies: r-tidyr@1.3.1 r-shiny@1.11.1 r-reshape2@1.4.5 r-readxl@1.4.5 r-readr@2.1.6 r-latex2exp@0.9.6 r-ggplot2@4.0.1 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://cran.r-project.org/package=HaDeX
Licenses: GPL 3
Build system: r
Synopsis: Analysis and Visualisation of Hydrogen/Deuterium Exchange Mass Spectrometry Data
Description:

This package provides functions for processing, analysis and visualization of Hydrogen Deuterium eXchange monitored by Mass Spectrometry experiments (HDX-MS) (<doi:10.1093/bioinformatics/btaa587>). HaDeX introduces a new standardized and reproducible workflow for the analysis of the HDX-MS data, including novel uncertainty intervals. Additionally, it covers data exploration, quality control and generation of publication-quality figures. All functionalities are also available in the in-built Shiny app.

r-hglm-data 1.0-1
Propagated dependencies: r-sp@2.2-0 r-matrix@1.7-4 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://cran.r-project.org/package=hglm.data
Licenses: GPL 2+
Build system: r
Synopsis: Data for the 'hglm' Package
Description:

This data-only package was created for distributing data used in the examples of the hglm package.

r-hmclearn 0.0.5
Propagated dependencies: r-mvtnorm@1.3-3 r-mass@7.3-65 r-bayesplot@1.14.0
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://cran.r-project.org/package=hmclearn
Licenses: GPL 3
Build system: r
Synopsis: Fit Statistical Models Using Hamiltonian Monte Carlo
Description:

Provide users with a framework to learn the intricacies of the Hamiltonian Monte Carlo algorithm with hands-on experience by tuning and fitting their own models. All of the code is written in R. Theoretical references are listed below:. Neal, Radford (2011) "Handbook of Markov Chain Monte Carlo" ISBN: 978-1420079418, Betancourt, Michael (2017) "A Conceptual Introduction to Hamiltonian Monte Carlo" <arXiv:1701.02434>, Thomas, S., Tu, W. (2020) "Learning Hamiltonian Monte Carlo in R" <arXiv:2006.16194>, Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013) "Bayesian Data Analysis" ISBN: 978-1439840955, Agresti, Alan (2015) "Foundations of Linear and Generalized Linear Models ISBN: 978-1118730034, Pinheiro, J., Bates, D. (2006) "Mixed-effects Models in S and S-Plus" ISBN: 978-1441903174.

r-hsrecombi 1.0.1
Propagated dependencies: r-rlist@0.4.6.2 r-rcpp@1.1.0 r-quadprog@1.5-8 r-matrix@1.7-4 r-hsphase@2.0.4 r-dplyr@1.1.4 r-data-table@1.17.8 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://cran.r-project.org/package=hsrecombi
Licenses: GPL 2+
Build system: r
Synopsis: Estimation of Recombination Rate and Maternal LD in Half-Sibs
Description:

Paternal recombination rate and maternal linkage disequilibrium (LD) are estimated for pairs of biallelic markers such as single nucleotide polymorphisms (SNPs) from progeny genotypes and sire haplotypes. The implementation relies on paternal half-sib families. If maternal half-sib families are used, the roles of sire/dam are swapped. Multiple families can be considered. For parameter estimation, at least one sire has to be double heterozygous at the investigated pairs of SNPs. Based on recombination rates, genetic distances between markers can be estimated. Markers with unusually large recombination rate to markers in close proximity (i.e. putatively misplaced markers) shall be discarded in this derivation. A workflow description is attached as vignette. *A pipeline is available at GitHub* <https://github.com/wittenburg/hsrecombi> Hampel, Teuscher, Gomez-Raya, Doschoris, Wittenburg (2018) "Estimation of recombination rate and maternal linkage disequilibrium in half-sibs" <doi:10.3389/fgene.2018.00186>. Gomez-Raya (2012) "Maximum likelihood estimation of linkage disequilibrium in half-sib families" <doi:10.1534/genetics.111.137521>.

r-hero 0.6
Propagated dependencies: r-sp@2.2-0 r-sf@1.0-23 r-pbapply@1.7-4 r-optimx@2025-4.9 r-matrix@1.7-4 r-fields@17.1
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://cran.r-project.org/package=hero
Licenses: GPL 2+
Build system: r
Synopsis: Spatio-Temporal (Hero) Sandwich Smoother
Description:

An implementation of the sandwich smoother proposed in Fast Bivariate Penalized Splines by Xiao et al. (2012) <doi:10.1111/rssb.12007>. A hero is a specific type of sandwich. Dictionary.com (2018) <https://www.dictionary.com> describes a hero as: a large sandwich, usually consisting of a small loaf of bread or long roll cut in half lengthwise and containing a variety of ingredients, as meat, cheese, lettuce, and tomatoes. Also implements the spatio-temporal sandwich smoother of French and Kokoszka (2021) <doi:10.1016/j.spasta.2020.100413>.

r-hybriddesign 1.0
Propagated dependencies: r-testit@0.13 r-resourceselection@0.3-6
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://cran.r-project.org/package=HybridDesign
Licenses: GPL 3
Build system: r
Synopsis: Hybrid Design for Phase I Dose-Finding Studies
Description:

The Hybrid design is a combination of model-assisted design (e.g., the modified Toxicity Probability Interval design) with dose-toxicity model-based design for phase I dose-finding studies. The hybrid design controls the overdosing toxicity well and leads to a recommended dose closer to the true maximum tolerated dose (MTD) due to its ability to calibrate for an intermediate dose. More details can be found in Liao et al. 2022 <doi:10.1002/ijc.34203>.

r-hyperbolicdist 0.6-5
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: The Hyperbolic Distribution
Description:

Maintenance has been discontinued for this package. It has been superseded by GeneralizedHyperbolic'. GeneralizedHyperbolic includes all the functionality of HyperbolicDist and more and is based on a more rational design. HyperbolicDist provides functions for the hyperbolic and related distributions. Density, distribution and quantile functions and random number generation are provided for the hyperbolic distribution, the generalized hyperbolic distribution, the generalized inverse Gaussian distribution and the skew-Laplace distribution. Additional functionality is provided for the hyperbolic distribution, including fitting of the hyperbolic to data.

r-hdanova 0.8.4
Propagated dependencies: r-rspectra@0.16-2 r-progress@1.2.3 r-pracma@2.4.6 r-pls@2.8-5 r-mixlm@1.4.3 r-mass@7.3-65 r-lme4@1.1-37 r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://khliland.github.io/HDANOVA/
Licenses: GPL 2+
Build system: r
Synopsis: High-Dimensional Analysis of Variance
Description:

This package provides functions and datasets to support Smilde, Marini, Westerhuis and Liland (2025, ISBN: 978-1-394-21121-0) "Analysis of Variance for High-Dimensional Data - Applications in Life, Food and Chemical Sciences". This implements and imports a collection of methods for HD-ANOVA data analysis with common interfaces, result- and plotting functions, multiple real data sets and four vignettes covering a range different applications.

r-heckmange 1.0.0
Propagated dependencies: r-vctrs@0.6.5 r-misctools@0.6-28 r-maxlik@1.5-2.1 r-glm2@1.2.1
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://github.com/fsbmat-ufv/heckmanGE
Licenses: GPL 3
Build system: r
Synopsis: Estimation and Inference for Heckman Selection Models with Cluster-Robust Variance
Description:

This package provides tools for the estimation of Heckman selection models with robust variance-covariance matrices. It includes functions for computing the bread and meat matrices, as well as clustered standard errors for generalized Heckman models, see Fernando de Souza Bastos and Wagner Barreto-Souza and Marc G. Genton (2022, ISSN: <https://www.jstor.org/stable/27164235>). The package also offers cluster-robust inference with sandwich estimators, and tools for handling issues related to eigenvalues in covariance matrices.

r-hdflex 0.3.2
Propagated dependencies: r-reshape2@1.4.5 r-rcppthread@2.2.0 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-ggplot2@4.0.1 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://github.com/lehmasve/hdflex
Licenses: GPL 2+
Build system: r
Synopsis: High-Dimensional Aggregate Density Forecasts
Description:

This package provides a forecasting method that efficiently maps vast numbers of (scalar-valued) signals into an aggregate density forecast in a time-varying and computationally fast manner. The method proceeds in two steps: First, it transforms a predictive signal into a density forecast and, second, it combines the resulting candidate density forecasts into an ultimate aggregate density forecast. For a detailed explanation of the method, please refer to Adaemmer et al. (2025) <doi:10.1080/07350015.2025.2526424>.

r-hwordcloud 0.1.0
Propagated dependencies: r-wordcloud2@0.2.1 r-shiny@1.11.1 r-htmlwidgets@1.6.4 r-colourpicker@1.3.0
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://github.com/czxa/hwordcloud
Licenses: Expat
Build system: r
Synopsis: Rendering Word Clouds
Description:

This package provides a way to display word clouds in R. The word cloud is a html widget, so you can use it in interactive documents and shiny applications.

r-hlsm 0.9.2
Propagated dependencies: r-mass@7.3-65 r-igraph@2.2.1 r-coda@0.19-4.1 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://cran.r-project.org/package=HLSM
Licenses: GPL 2+
Build system: r
Synopsis: Hierarchical Latent Space Network Model
Description:

Fits latent space models for single networks and hierarchical latent space models for ensembles of networks as described in Sweet, Thomas & Junker (2013).

r-heda 0.1.5
Propagated dependencies: r-zoo@1.8-14 r-rlang@1.1.6 r-lubridate@1.9.4 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://cran.r-project.org/package=HEDA
Licenses: Expat
Build system: r
Synopsis: 'Hydropeaking Events Detection Algorithm'
Description:

This tool identifies hydropeaking events from raw time-series flow record, a rapid flow variation induced by the hourly-adjusted electricity market. The novelty of HEDA is to use vector angle instead of the first-order derivative to detect change points which not only largely improves the computing efficiency but also accounts for the rate of change of the flow variation. More details <doi:10.1016/j.jhydrol.2021.126392>.

r-hot-deck 1.2
Propagated dependencies: r-tidyr@1.3.1 r-mice@3.18.0 r-mass@7.3-65 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=hot.deck
Licenses: Expat
Build system: r
Synopsis: Multiple Hot Deck Imputation
Description:

This package performs multiple hot-deck imputation of categorical and continuous variables in a data frame.

r-healthyr-ts 0.3.2
Propagated dependencies: r-workflowsets@1.1.1 r-timetk@2.9.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringi@1.8.7 r-rlang@1.1.6 r-recipes@1.3.1 r-purrr@1.2.0 r-plotly@4.11.0 r-parsnip@1.3.3 r-modeltime@1.3.5 r-magrittr@2.0.4 r-lubridate@1.9.4 r-hardhat@1.4.2 r-ggplot2@4.0.1 r-forcats@1.0.1 r-dplyr@1.1.4 r-cowplot@1.2.0
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://www.spsanderson.com/healthyR.ts/
Licenses: Expat
Build system: r
Synopsis: The Time Series Modeling Companion to 'healthyR'
Description:

Hospital time series data analysis workflow tools, modeling, and automations. This library provides many useful tools to review common administrative time series hospital data. Some of these include average length of stay, and readmission rates. The aim is to provide a simple and consistent verb framework that takes the guesswork out of everything.

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