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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-hgwrr 0.6-2
Dependencies: gsl@2.8
Propagated dependencies: r-sf@1.0-23 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://github.com/HPDell/hgwrr/
Licenses: GPL 2+
Build system: r
Synopsis: Hierarchical and Geographically Weighted Regression
Description:

This model divides coefficients into three types, i.e., local fixed effects, global fixed effects, and random effects (Hu et al., 2022)<doi:10.1177/23998083211063885>. If data have spatial hierarchical structures (especially are overlapping on some locations), it is worth trying this model to reach better fitness.

r-hchinamap 0.1.0
Propagated dependencies: r-htmlwidgets@1.6.4
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://github.com/czxa/hchinamap
Licenses: Expat
Build system: r
Synopsis: Mapping China and Its Provinces
Description:

By binding R functions and the Highmaps <https://www.highcharts.com.cn/products/highmaps> chart library, hchinamap package provides a simple way to map China and its provinces. The map of China drawn by this package contains complete Chinese territory, especially the Nine-dotted line, South Tibet, Hong Kong, Macao and Taiwan.

r-haplocatcher 1.0.4
Propagated dependencies: r-randomforest@4.7-1.2 r-patchwork@1.3.2 r-lattice@0.22-7 r-knitr@1.50 r-ggplot2@4.0.1 r-foreach@1.5.2 r-doparallel@1.0.17 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://cran.r-project.org/package=HaploCatcher
Licenses: Expat
Build system: r
Synopsis: Predictive Haplotyping Package
Description:

Used for predicting a genotypeâ s allelic state at a specific locus/QTL/gene. This is accomplished by using both a genotype matrix and a separate file which has categorizations about loci/QTL/genes of interest for the individuals in the genotypic matrix. A training population can be created from a panel of individuals who have been previously screened for specific loci/QTL/genes, and this previous screening could be summarized into a category. Using the categorization of individuals which have been genotyped using a genome wide marker platform, a model can be trained to predict what category (haplotype) an individual belongs in based on their genetic sequence in the region associated with the locus/QTL/gene. These trained models can then be used to predict the haplotype of a locus/QTL/gene for individuals which have been genotyped with a genome wide platform yet not genotyped for the specific locus/QTL/gene. This package is based off work done by Winn et al 2021. For more specific information on this method, refer to <doi:10.1007/s00122-022-04178-w>.

r-heavytails 0.1.1
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://github.com/0diraf/heavytails
Licenses: Expat
Build system: r
Synopsis: Estimators and Algorithms for Heavy-Tailed Distributions
Description:

This package implements the estimators and algorithms described in Chapters 8 and 9 of the book "The Fundamentals of Heavy Tails: Properties, Emergence, and Estimation" by Nair et al. (2022, ISBN:9781009053730). These include the Hill estimator, Moments estimator, Pickands estimator, Peaks-over-Threshold (POT) method, Power-law fit, and the Double Bootstrap algorithm.

r-hcci 1.2.0
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://github.com/prdm0/hcci
Licenses: GPL 3+
Build system: r
Synopsis: Interval Estimation of Linear Models with Heteroskedasticity
Description:

Calculates the interval estimates for the parameters of linear models with heteroscedastic regression using bootstrap - (Wild Bootstrap) and double bootstrap-t (Wild Bootstrap). It is also possible to calculate confidence intervals using the percentile bootstrap and percentile bootstrap double. The package can calculate consistent estimates of the covariance matrix of the parameters of linear regression models with heteroscedasticity of unknown form. The package also provides a function to consistently calculate the covariance matrix of the parameters of linear models with heteroscedasticity of unknown form. The bootstrap methods exported by the package are based on the master's thesis of the first author, available at <https://raw.githubusercontent.com/prdm0/hcci/master/references/dissertacao_mestrado.pdf>. The hcci package in previous versions was cited in the book VINOD, Hrishikesh D. Hands-on Intermediate Econometrics Using R: Templates for Learning Quantitative Methods and R Software. 2022, p. 441, ISBN 978-981-125-617-2 (hardcover). The simple bootstrap schemes are based on the works of Cribari-Neto F and Lima M. G. (2009) <doi:10.1080/00949650801935327>, while the double bootstrap schemes for the parameters that index the linear models with heteroscedasticity of unknown form are based on the works of Beran (1987) <doi:10.2307/2336685>. The use of bootstrap for the calculation of interval estimates in regression models with heteroscedasticity of unknown form from a weighting of the residuals was proposed by Wu (1986) <doi:10.1214/aos/1176350142>. This bootstrap scheme is known as weighted or wild bootstrap.

r-henna 0.3.4
Propagated dependencies: r-withr@3.0.2 r-viridis@0.6.5 r-tidygraph@1.3.1 r-rlang@1.1.6 r-reshape2@1.4.5 r-liver@1.26 r-ggrepel@0.9.6 r-ggraph@2.2.2 r-ggplot2@4.0.1 r-ggnewscale@0.5.2 r-ggforce@0.5.0 r-ggeasy@0.1.6 r-ggalluvial@0.12.5 r-dplyr@1.1.4 r-abdiv@0.2.0
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://cran.r-project.org/package=henna
Licenses: Expat
Build system: r
Synopsis: Versatile Visualization Suite
Description:

This package provides a visualization suite primarily designed for single-cell RNA-sequencing data analysis applications, but adaptable to other purposes as well. It introduces novel plots to represent two-variable and frequency data and optimizes some commonly used plotting options (e.g., correlation, network, density and alluvial plots) for ease of usage and flexibility.

r-healthcare-antitrust 0.1.5
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://github.com/mpanhans/healthcare.antitrust
Licenses: CC0
Build system: r
Synopsis: Healthcare Antitrust Analysis
Description:

Antitrust analysis of healthcare markets. Contains functions to implement the semiparametric estimation technique described in Raval, Rosenbaum, and Tenn (2017) "A Semiparametric Discrete Choice Model: An Application to Hospital Mergers" <doi:10.1111/ecin.12454>.

r-hodgestools 1.0.0
Propagated dependencies: r-recordlinkage@0.4-12.6 r-readr@2.1.6 r-rcolorbrewer@1.1-3 r-qqman@0.1.9 r-magrittr@2.0.4 r-ini@0.3.1 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=HodgesTools
Licenses: GPL 3+
Build system: r
Synopsis: Common Use Tools for Genomic Analysis
Description:

Built by Hodges lab members for current and future Hodges lab members. Other individuals are welcome to use as well. Provides useful functions that the lab uses everyday to analyze various genomic datasets. Critically, only general use functions are provided; functions specific to a given technique are reserved for a separate package. As the lab grows, we expect to continue adding functions to the package to build on previous lab members code.

r-h3jsr 1.3.1
Propagated dependencies: r-v8@8.0.1 r-tidyr@1.3.1 r-sf@1.0-23 r-geojsonsf@2.0.5
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://obrl-soil.github.io/h3jsr/
Licenses: FSDG-compatible
Build system: r
Synopsis: Access Uber's H3 Library
Description:

This package provides access to Uber's H3 library for geospatial indexing via its JavaScript transpile h3-js <https://github.com/uber/h3-js> and V8 <https://github.com/jeroen/v8>.

r-hmmrel 0.1.1
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://cran.r-project.org/package=HMMRel
Licenses: GPL 2
Build system: r
Synopsis: Hidden Markov Models for Reliability and Maintenance
Description:

Reliability Analysis and Maintenance Optimization using Hidden Markov Models (HMM). The use of HMMs to model the state of a system which is not directly observable and instead certain indicators (signals) of the true situation are provided via a control system. A hidden model can provide key information about the system dependability, such as the reliability of the system and related measures. An estimation procedure is implemented based on the Baum-Welch algorithm. Classical structures such as K-out-of-N systems and Shock models are illustrated. Finally, the maintenance of the system is considered in the HMM context and two functions for new preventive maintenance strategies are considered. Maintenance efficiency is measured in terms of expected cost. Methods are described in Gamiz, Limnios, and Segovia-Garcia (2023) <doi:10.1016/j.ejor.2022.05.006>.

r-historicalborrow 1.1.1
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-rjags@4-17 r-posterior@1.6.1 r-matrix@1.7-4 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://wlandau.github.io/historicalborrow/
Licenses: Expat
Build system: r
Synopsis: Non-Longitudinal Bayesian Historical Borrowing Models
Description:

Historical borrowing in clinical trials can improve precision and operating characteristics. This package supports a hierarchical model and a mixture model to borrow historical control data from other studies to better characterize the control response of the current study. It also quantifies the amount of borrowing through benchmark models (independent and pooled). Some of the methods are discussed by Viele et al. (2013) <doi:10.1002/pst.1589>.

r-holodeck 0.2.2
Propagated dependencies: r-tibble@3.3.0 r-rlang@1.1.6 r-purrr@1.2.0 r-mass@7.3-65 r-dplyr@1.1.4 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://github.com/Aariq/holodeck
Licenses: Expat
Build system: r
Synopsis: Tidy Interface for Simulating Multivariate Data
Description:

This package provides pipe-friendly (%>%) wrapper functions for MASS::mvrnorm() to create simulated multivariate data sets with groups of variables with different degrees of variance, covariance, and effect size.

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-holomics 1.2.1
Propagated dependencies: r-visnetwork@2.1.4 r-tippy@0.1.0 r-stringr@1.6.0 r-shinywidgets@0.9.0 r-shinyvalidate@0.1.3 r-shinyjs@2.1.0 r-shinybusy@0.3.3 r-shinyalert@3.1.0 r-shiny@1.11.1 r-readxl@1.4.5 r-openxlsx@4.2.8.1 r-mixomics@6.34.0 r-igraph@2.2.1 r-golem@0.5.1 r-ggplot2@4.0.1 r-dt@0.34.0 r-dplyr@1.1.4 r-config@0.3.2 r-bs4dash@2.3.5 r-biocparallel@1.44.0
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://github.com/MolinLab/Holomics
Licenses: GPL 3+
Build system: r
Synopsis: User-Friendly R 'shiny' Application for Multi-Omics Data Integration and Analysis
Description:

This package provides a shiny application, which allows you to perform single- and multi-omics analyses using your own omics datasets. After the upload of the omics datasets and a metadata file, single-omics is performed for feature selection and dataset reduction. These datasets are used for pairwise- and multi-omics analyses, where automatic tuning is done to identify correlations between the datasets - the end goal of the recommended Holomics workflow. Methods used in the package were implemented in the package mixomics by Florian Rohart,Benoît Gautier,Amrit Singh,Kim-Anh Lê Cao (2017) <doi:10.1371/journal.pcbi.1005752> and are described there in further detail.

r-hydrocode 1.0.3
Propagated dependencies: r-sp@2.2-0
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://cran.r-project.org/package=HydroCode
Licenses: GPL 3
Build system: r
Synopsis: Hydrological Codes
Description:

Pfafstetter Hydrological Codes as cited in Verdin and Verdin (1999) <doi: 10.1016/S0022-1694(99)00011-6> are decoded for upstream or downstream queries.

r-heterometa 0.4
Propagated dependencies: r-rdpack@2.6.4 r-mathjaxr@1.8-0
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://cran.r-project.org/package=heterometa
Licenses: GPL 2
Build system: r
Synopsis: Convert Various Meta-Analysis Heterogeneity Measures
Description:

Published meta-analyses routinely present one of the measures of heterogeneity introduced in Higgins and Thompson (2002) <doi:10.1002/sim.1186>. For critiquing articles it is often better to convert to another of those measures. Some conversions are provided here and confidence intervals are also available.

r-hidimda 0.2-7
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://cran.r-project.org/package=HiDimDA
Licenses: GPL 3+
Build system: r
Synopsis: High Dimensional Discriminant Analysis
Description:

This package performs linear discriminant analysis in high dimensional problems based on reliable covariance estimators for problems with (many) more variables than observations. Includes routines for classifier training, prediction, cross-validation and variable selection.

r-humanformat 1.2
Propagated dependencies: r-testthat@3.3.0
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://github.com/dustin/humanFormat
Licenses: Expat
Build system: r
Synopsis: Human-Friendly Formatting Functions
Description:

Format quantities of time or bytes into human-friendly strings.

r-hum 2.0
Propagated dependencies: r-rgl@1.3.31 r-rcpp@1.1.0 r-gtools@3.9.5
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://public.ostfalia.de/~klawonn/HUM.htm
Licenses: GPL 3+
Build system: r
Synopsis: Compute HUM Value and Visualize ROC Curves
Description:

This package provides tools for computing HUM (Hypervolume Under the Manifold) value to estimate features ability to discriminate the class labels, visualizing the ROC curve for two or three class labels (Natalia Novoselova, Cristina Della Beffa, Junxi Wang, Jialiang Li, Frank Pessler, Frank Klawonn (2014) <doi:10.1093/bioinformatics/btu086>).

r-heims 0.4.0
Propagated dependencies: r-magrittr@2.0.4 r-lubridate@1.9.4 r-hutils@2.0.0 r-fastmatch@1.1-6 r-data-table@1.17.8 r-bit64@4.6.0-1
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://cran.r-project.org/package=heims
Licenses: GPL 3
Build system: r
Synopsis: Decode and Validate HEIMS Data from Department of Education, Australia
Description:

Decode elements of the Australian Higher Education Information Management System (HEIMS) data for clarity and performance. HEIMS is the record system of the Department of Education, Australia to record enrolments and completions in Australia's higher education system, as well as a range of relevant information. For more information, including the source of the data dictionary, see <http://heimshelp.education.gov.au/sites/heimshelp/dictionary/pages/data-element-dictionary>.

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-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-hsem 1.0
Propagated dependencies: r-numderiv@2016.8-1.1 r-mvtnorm@1.3-3 r-matrix@1.7-4 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://cran.r-project.org/package=hsem
Licenses: GPL 3
Build system: r
Synopsis: Hierarchical Structural Equation Model
Description:

We present this package for fitting structural equation models using the hierarchical likelihood method. This package allows extended structural equation model, including dynamic structural equation model. We illustrate the use of our packages with well-known data sets. Therefore, this package are able to handle two serious problems inadmissible solution and factor indeterminacy <doi:10.3390/sym13040657>.

r-haplin 7.3.2
Propagated dependencies: r-rlang@1.1.6 r-mgcv@1.9-4 r-mass@7.3-65 r-ff@4.5.2
Channel: guix-cran
Location: guix-cran/packages/h.scm (guix-cran packages h)
Home page: https://haplin.bitbucket.io
Licenses: GPL 2+
Build system: r
Synopsis: Analyzing Case-Parent Triad and/or Case-Control Data with SNP Haplotypes
Description:

This package performs genetic association analyses of case-parent triad (trio) data with multiple markers. It can also incorporate complete or incomplete control triads, for instance independent control children. Estimation is based on haplotypes, for instance SNP haplotypes, even though phase is not known from the genetic data. Haplin estimates relative risk (RR + conf.int.) and p-value associated with each haplotype. It uses maximum likelihood estimation to make optimal use of data from triads with missing genotypic data, for instance if some SNPs has not been typed for some individuals. Haplin also allows estimation of effects of maternal haplotypes and parent-of-origin effects, particularly appropriate in perinatal epidemiology. Haplin allows special models, like X-inactivation, to be fitted on the X-chromosome. A GxE analysis allows testing interactions between environment and all estimated genetic effects. The models were originally described in "Gjessing HK and Lie RT. Case-parent triads: Estimating single- and double-dose effects of fetal and maternal disease gene haplotypes. Annals of Human Genetics (2006) 70, pp. 382-396".

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