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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-clusttmb 0.1.0
Propagated dependencies: r-tmb@1.9.18 r-sf@1.0-23 r-reformulas@0.4.2 r-rcppeigen@0.3.4.0.2 r-moeclust@1.6.0 r-mclust@6.1.2 r-matrix@1.7-4 r-lme4@1.1-37 r-fmesher@0.5.0 r-clustmixtype@0.4-2 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/Andrea-Havron/clustTMB
Licenses: GPL 3
Build system: r
Synopsis: Spatio-Temporal Finite Mixture Model using 'TMB'
Description:

Fits a spatio-temporal finite mixture model using TMB'. Covariate, spatial and temporal random effects can be incorporated into the gating formula using multinomial logistic regression, the expert formula using a generalized linear mixed model framework, or both.

r-cpoptim 0.1.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CPoptim
Licenses: GPL 2
Build system: r
Synopsis: Convex Partition Optimisation
Description:

Convex Partition is a black-box optimisation algorithm for single objective real-parameters functions. The basic principle is to progressively estimate and exploit a regression tree similar to a CART (Classification and Regression Tree) of the objective function. For more details see de Paz (2024) <doi:10.1007/978-3-031-62836-8_3> and Loh (2011) <doi:10.1002/widm.8> .

r-covid19france 0.1.0
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-readr@2.1.6 r-magrittr@2.0.4 r-lubridate@1.9.4 r-glue@1.8.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=covid19france
Licenses: Expat
Build system: r
Synopsis: Cases of COVID-19 in France
Description:

Imports and cleans opencovid19-fr <https://github.com/opencovid19-fr/data> data on COVID-19 in France.

r-circacp 0.1.2
Propagated dependencies: r-tibble@3.3.0 r-pracma@2.4.6 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CircaCP
Licenses: GPL 3+
Build system: r
Synopsis: Sleep and Circadian Metrics Estimation from Actigraphy Data
Description:

This package provides a generic sleepâ wake cycle detection algorithm for analyzing unlabeled actigraphy data. The algorithm has been validated against event markers using data from the Multi-Ethnic Study of Atherosclerosis (MESA) Sleep study, and its methodological details are described in Chen and Sun (2024) <doi:10.1098/rsos.231468>. The package provides functions to estimate sleep metrics (e.g., sleep and wake onset times) and circadian rhythm metrics (e.g., mesor, phasor, interdaily stability, intradaily variability), as well as tools for screening actigraphy quality, fitting cosinor models, and performing parametric change point detection. The workflow can also be used to segment long actigraphy sequences into regularized structures for physical activity research.

r-cowfootr 0.1.3
Propagated dependencies: r-writexl@1.5.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/juanmarcosmoreno-arch/cowfootR
Licenses: Expat
Build system: r
Synopsis: Dairy Farm Carbon Footprint Assessment
Description:

Calculates the carbon footprint of dairy farms based on methodologies of the International Dairy Federation and the Intergovernmental Panel on Climate Change. Includes tools for single-farm and batch analysis, report generation, and visualization. Methods follow International Dairy Federation (2022) "The IDF global Carbon Footprint standard for the dairy sector" (Bulletin of the IDF n° 520/2022) <doi:10.56169/FKRK7166> and IPCC (2019) "2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories, Chapter 10: Emissions from Livestock and Manure Management" <https://www.ipcc-nggip.iges.or.jp/public/2019rf/pdf/4_Volume4/19R_V4_Ch10_Livestock.pdf> guidelines.

r-combatfamqc 1.0.6
Propagated dependencies: r-tidyr@1.3.1 r-shinydashboard@0.7.3 r-shiny@1.11.1 r-rtsne@0.17 r-pbkrtest@0.5.5 r-openxlsx@4.2.8.1 r-mgcv@1.9-4 r-mdmr@0.5.2 r-magrittr@2.0.4 r-lme4@1.1-37 r-invgamma@1.2 r-ggplot2@4.0.1 r-gamlss-dist@6.1-1 r-gamlss@5.5-0 r-dt@0.34.0 r-dplyr@1.1.4 r-car@3.1-3 r-bslib@0.9.0 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/Zheng206/ComBatFamQC
Licenses: Expat
Build system: r
Synopsis: Comprehensive Batch Effect Diagnostics and Harmonization
Description:

This package provides a comprehensive framework for batch effect diagnostics, harmonization, and post-harmonization downstream analysis. Features include interactive visualization tools, robust statistical tests, and a range of harmonization techniques. Additionally, ComBatFamQC enables the creation of life-span age trend plots with estimated age-adjusted centiles and facilitates the generation of covariate-corrected residuals for analytical purposes. Methods for harmonization are based on approaches described in Johnson et al., (2007) <doi:10.1093/biostatistics/kxj037>, Beer et al., (2020) <doi:10.1016/j.neuroimage.2020.117129>, Pomponio et al., (2020) <doi:10.1016/j.neuroimage.2019.116450>, and Chen et al., (2021) <doi:10.1002/hbm.25688>.

r-crumble 0.1.2
Propagated dependencies: r-torch@0.16.3 r-s7@0.2.1 r-rsymphony@0.1-33 r-purrr@1.2.0 r-progressr@0.18.0 r-origami@1.0.7 r-mlr3superlearner@0.1.2 r-matrix@1.7-4 r-lmtp@1.5.3 r-ife@0.2.1 r-generics@0.1.4 r-data-table@1.17.8 r-coro@1.1.0 r-cli@3.6.5 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=crumble
Licenses: GPL 3+
Build system: r
Synopsis: Flexible and General Mediation Analysis Using Riesz Representers
Description:

This package implements a modern, unified estimation strategy for common mediation estimands (natural effects, organic effects, interventional effects, and recanting twins) in combination with modified treatment policies as described in Liu, Williams, Rudolph, and DÃ az (2024) <doi:10.48550/arXiv.2408.14620>. Estimation makes use of recent advancements in Riesz-learning to estimate a set of required nuisance parameters with deep learning. The result is the capability to estimate mediation effects with binary, categorical, continuous, or multivariate exposures with high-dimensional mediators and mediator-outcome confounders using machine learning.

r-cpam 0.1.3
Propagated dependencies: r-tximport@1.38.1 r-tidyr@1.3.1 r-stringr@1.6.0 r-shinyjs@2.1.0 r-shiny@1.11.1 r-scam@1.2-21 r-rlang@1.1.6 r-rcolorbrewer@1.1-3 r-purrr@1.2.0 r-pbmcapply@1.5.1 r-mvnfast@0.2.8 r-mgcv@1.9-4 r-matrixstats@1.5.0 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-edger@4.8.0 r-dplyr@1.1.4 r-cli@3.6.5 r-bslib@0.9.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://l-a-yates.github.io/cpam/
Licenses: GPL 3+
Build system: r
Synopsis: Changepoint Additive Models for Time Series Omics Data
Description:

This package provides a comprehensive framework for time series omics analysis, integrating changepoint detection, smooth and shape-constrained trends, and uncertainty quantification. It supports gene- and transcript-level inferences, p-value aggregation for improved power, and both case-only and case-control designs. It includes an interactive shiny interface. The methods are described in Yates et al. (2024) <doi:10.1101/2024.12.22.630003>.

r-cluster-datasets 1.0-1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cluster.datasets
Licenses: GPL 2+
Build system: r
Synopsis: Cluster Analysis Data Sets
Description:

This package provides a collection of data sets for teaching cluster analysis.

r-comsimitv 0.1.5
Propagated dependencies: r-vegan@2.7-2 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=comsimitv
Licenses: GPL 2
Build system: r
Synopsis: Flexible Framework for Simulating Community Assembly
Description:

Flexible framework for trait-based simulation of community assembly, where components could be replaced by user-defined function and that allows variation of traits within species.

r-clustra 0.2.1
Propagated dependencies: r-mixsim@1.1-8 r-mgcv@1.9-4 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=clustra
Licenses: FSDG-compatible
Build system: r
Synopsis: Clustering Longitudinal Trajectories
Description:

Clusters longitudinal trajectories over time (can be unequally spaced, unequal length time series and/or partially overlapping series) on a common time axis. Performs k-means clustering on a single continuous variable measured over time, where each mean is defined by a thin plate spline fit to all points in a cluster. Distance is MSE across trajectory points to cluster spline. Provides graphs of derived cluster splines, silhouette plots, and Adjusted Rand Index evaluations of the number of clusters. Scales well to large data with multicore parallelism available to speed computation.

r-catastro 0.4.1
Propagated dependencies: r-xml2@1.5.0 r-tibble@3.3.0 r-terra@1.8-86 r-stringi@1.8.7 r-sf@1.0-23 r-rappdirs@0.3.3 r-mapspain@1.0.0 r-httr2@1.2.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://ropenspain.github.io/CatastRo/
Licenses: GPL 2
Build system: r
Synopsis: Interface to the API 'Sede Electronica Del Catastro'
Description:

Access public spatial data available under the INSPIRE directive. Tools for downloading references and addresses of properties, as well as map images.

r-calendr 1.2
Propagated dependencies: r-suncalc@0.5.1 r-ggplot2@4.0.1 r-ggimage@0.3.5 r-gggibbous@0.1.1 r-forcats@1.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://r-coder.com/
Licenses: GPL 2
Build system: r
Synopsis: Ready to Print Monthly and Yearly Calendars Made with 'ggplot2'
Description:

This package contains the function calendR() for creating fully customizable monthly and yearly calendars (colors, fonts, formats, ...) and even heatmap calendars. In addition, it allows saving the calendars in ready to print A4 format PDF files.

r-choicedes 0.9-3
Propagated dependencies: r-algdesign@1.2.1.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=choiceDes
Licenses: GPL 2+
Build system: r
Synopsis: Design Functions for Choice Studies
Description:

Design functions for DCMs and other types of choice studies (including MaxDiff and other tradeoffs).

r-corrmct 0.2.0
Propagated dependencies: r-tibble@3.3.0 r-matrix@1.7-4 r-magrittr@2.0.4 r-glue@1.8.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=corrMCT
Licenses: GPL 3+
Build system: r
Synopsis: Correlated Weighted Hochberg
Description:

Perform additional multiple testing procedure methods to p.adjust(), such as weighted Hochberg (Tamhane, A. C., & Liu, L., 2008) <doi:10.1093/biomet/asn018>, ICC adjusted Bonferroni method (Shi, Q., Pavey, E. S., & Carter, R. E., 2012) <doi:10.1002/pst.1514> and a new correlation corrected weighted Hochberg for correlated endpoints.

r-covsel 1.2.2
Propagated dependencies: r-np@0.60-18 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CovSel
Licenses: GPL 3
Build system: r
Synopsis: Model-Free Covariate Selection
Description:

Model-free selection of covariates under unconfoundedness for situations where the parameter of interest is an average causal effect. This package is based on model-free backward elimination algorithms proposed in de Luna, Waernbaum and Richardson (2011). Marginal co-ordinate hypothesis testing is used in situations where all covariates are continuous while kernel-based smoothing appropriate for mixed data is used otherwise.

r-cusumdesign 1.1.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CUSUMdesign
Licenses: GPL 2
Build system: r
Synopsis: Compute Decision Interval and Average Run Length for CUSUM Charts
Description:

Computation of decision intervals (H) and average run lengths (ARL) for CUSUM charts. Details of the method are seen in Hawkins and Olwell (2012): Cumulative sum charts and charting for quality improvement, Springer Science & Business Media.

r-codexcopd 0.1.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=codexcopd
Licenses: GPL 3
Build system: r
Synopsis: The CODEX (Comorbidity, Obstruction, Dyspnea, and Previous Severe Exacerbations) Index: Short and Medium-Term Prognosis in Patients Hospitalized for Chronic Obstructive Pulmonary Disease (COPD) Exacerbations
Description:

Predicts 3 to 12 months prognosis in Chronic Obstructive Pulmonary Disease (COPD) patients hospitalized for severe exacerbations, as described in Almagro et al. (2014) <doi:10.1378/chest.13-1328>.

r-cheem 0.4.2
Propagated dependencies: r-spinifex@0.3.10 r-shinythemes@1.2.0 r-shinycssloaders@1.1.0 r-shiny@1.11.1 r-plotly@4.11.0 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-dt@0.34.0 r-conflicted@1.2.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/nspyrison/cheem/
Licenses: Expat
Build system: r
Synopsis: Interactively Explore Local Explanations with the Radial Tour
Description:

Given a non-linear model, calculate the local explanation. We purpose view the data space, explanation space, and model residuals as ensemble graphic interactive on a shiny application. After an observation of interest is identified, the normalized variable importance of the local explanation is used as a 1D projection basis. The support of the local explanation is then explored by changing the basis with the use of the radial tour <doi:10.32614/RJ-2020-027>; <doi:10.1080/10618600.1997.10474754>.

r-cauphy 1.0.3
Propagated dependencies: r-robustbase@0.99-6 r-pracma@2.4.6 r-phylolm@2.6.5 r-nloptr@2.2.1 r-hdinterval@0.2.4 r-foreach@1.5.2 r-doparallel@1.0.17 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://gilles-didier.github.io/cauphy/
Licenses: GPL 3+
Build system: r
Synopsis: Trait Evolution on Phylogenies Using the Cauchy Process
Description:

The Cauchy Process can model pulsed continuous trait evolution on phylogenies. The likelihood is tractable, and is used for parameter inference and ancestral trait reconstruction. See Bastide and Didier (2023) <doi:10.1093/sysbio/syad053>.

r-coint 0.0.2
Propagated dependencies: r-timeseries@4041.111
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=COINT
Licenses: GPL 2+
Build system: r
Synopsis: Unit Root Tests with Structural Breaks and Fully-Modified Estimators
Description:

Procedures include Phillips (1995) FMVAR <doi:10.2307/2171721>, Kitamura and Phillips (1997) FMGMM <doi:10.1016/S0304-4076(97)00004-3>, Park (1992) CCR <doi:10.2307/2951679>, and so on. Tests with 1 or 2 structural breaks include Gregory and Hansen (1996) <doi:10.1016/0304-4076(69)41685-7>, Zivot and Andrews (1992) <doi:10.2307/1391541>, and Kurozumi (2002) <doi:10.1016/S0304-4076(01)00106-3>.

r-cropdatape 1.0.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/omarbenites/cropdatape
Licenses: Expat
Build system: r
Synopsis: Open Data of Agricultural Production of Crops of Peru
Description:

This package provides peruvian agricultural production data from the Agriculture Minestry of Peru (MINAGRI). The first version includes 6 crops: rice, quinoa, potato, sweet potato, tomato and wheat; all of them across 24 departments. Initially, in excel files which has been transformed and assembled using tidy data principles, i.e. each variable is in a column, each observation is a row and each value is in a cell. The variables variables are sowing and harvest area per crop, yield, production and price per plot, every one year, from 2004 to 2014.

r-cloudutil 0.1.12
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cloudUtil
Licenses: GPL 2
Build system: r
Synopsis: Cloud Utilization Plots
Description:

This package provides means of plots for comparing utilization data of compute systems.

r-cubeview 0.4.1
Propagated dependencies: r-viridislite@0.4.2 r-svglite@2.2.2 r-stars@0.6-8 r-lattice@0.22-7 r-htmlwidgets@1.6.4 r-htmltools@0.5.8.1 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cubeview
Licenses: Expat
Build system: r
Synopsis: View 3D Raster Cubes Interactively
Description:

This package creates a 3D data cube view of a RasterStack/Brick, typically a collection/array of RasterLayers (along z-axis) with the same geographical extent (x and y dimensions) and resolution, provided by package raster'. Slices through each dimension (x/y/z), freely adjustable in location, are mapped to the visible sides of the cube. The cube can be freely rotated. Zooming and panning can be used to focus on different areas of the cube.

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