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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-contdid 0.1.0
Propagated dependencies: r-splines2@0.5.4 r-sandwich@3.1-1 r-ptetools@1.0.0 r-npiv@0.1.3 r-mass@7.3-65 r-ggplot2@4.0.1 r-checkmate@2.3.3 r-bmisc@1.4.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://bcallaway11.github.io/contdid/
Licenses: GPL 3
Synopsis: Difference-in-Differences with a Continuous Treatment
Description:

This package provides methods for difference-in-differences with a continuous treatment and staggered treatment adoption. Includes estimation of treatment effects and causal responses as a function of the dose, event studies indexed by length of exposure to the treatment, and aggregation into overall average effects. Uniform inference procedures are included, along with both parametric and nonparametric models for treatment effects. The methods are based on Callaway, Goodman-Bacon, and Sant'Anna (2025) <doi:10.48550/arXiv.2107.02637>.

r-crwrm 0.0.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CRWRM
Licenses: GPL 3
Synopsis: Changing the Reference Group without Re-Running the Model
Description:

To re-calculate the coefficients and the standard deviation when changing the reference group.

r-causalcmprsk 2.0.0
Propagated dependencies: r-survival@3.8-3 r-purrr@1.2.0 r-inline@0.3.21 r-foreach@1.5.2 r-doparallel@1.0.17 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/Bella2001/causalCmprsk
Licenses: GPL 2+
Synopsis: Nonparametric and Cox-Based Estimation of Average Treatment Effects in Competing Risks
Description:

Estimation of average treatment effects (ATE) of point interventions on time-to-event outcomes with K competing risks (K can be 1). The method uses propensity scores and inverse probability weighting for emulation of baseline randomization, which is described in Charpignon et al. (2022) <doi:10.1038/s41467-022-35157-w>.

r-consibiocloudclient 1.0.0
Propagated dependencies: r-magrittr@2.0.4 r-httr2@1.2.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=consibiocloudclient
Licenses: Expat
Synopsis: Client for the 'Consibio Cloud' API
Description:

Enable seamless interaction with Consibio Cloud <https://consibio.cloud> API <https://api.v2.consibio.com/api-docs/>. This package provides tools to query data from resources like projects, elements, devices, and datalogs.

r-clustorus 0.2.2
Propagated dependencies: r-rlang@1.1.6 r-purrr@1.2.0 r-igraph@2.2.1 r-ggplot2@4.0.1 r-cowplot@1.2.0 r-bambi@2.3.6
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/sungkyujung/ClusTorus
Licenses: GPL 3
Synopsis: Prediction and Clustering on the Torus by Conformal Prediction
Description:

This package provides various tools of for clustering multivariate angular data on the torus. The package provides angular adaptations of usual clustering methods such as the k-means clustering, pairwise angular distances, which can be used as an input for distance-based clustering algorithms, and implements clustering based on the conformal prediction framework. Options for the conformal scores include scores based on a kernel density estimate, multivariate von Mises mixtures, and naive k-means clusters. Moreover, the package provides some basic data handling tools for angular data.

r-chemodiv 0.3.1
Propagated dependencies: r-webchem@1.3.1 r-vegan@2.7-2 r-tidyr@1.3.1 r-tidygraph@1.3.1 r-rlang@1.1.6 r-jsonlite@2.0.0 r-igraph@2.2.1 r-httr@1.4.7 r-hillr@0.5.2 r-gunifrac@1.9 r-gridextra@2.3 r-ggraph@2.2.2 r-ggplot2@4.0.1 r-ggdendro@0.2.0 r-fmcsr@1.52.0 r-curl@7.0.0 r-chemminer@3.62.0 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/hpetren/chemodiv
Licenses: GPL 3+
Synopsis: Analysing Chemodiversity of Phytochemical Data
Description:

Quantify and visualise various measures of chemical diversity and dissimilarity, for phytochemical compounds and other sets of chemical composition data. Importantly, these measures can incorporate biosynthetic and/or structural properties of the chemical compounds, resulting in a more comprehensive quantification of diversity and dissimilarity. For details, see Petrén, Köllner and Junker (2023) <doi:10.1111/nph.18685>.

r-cdvi 0.1.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CDVI
Licenses: GPL 3
Synopsis: Cuddy-Della Valle Index for Capturing the Instability in Time Series Data
Description:

Cuddy-Della valle index gives the degree of instability present in the data by accommodating the effect of a trend. The adjusted R squared value of the best fitted model is chosen. The index is obtained by multiplying the coefficient of variation with square root of one minus the adjusted R-squared value. This package has been developed using concept of Shankar et al. (2022)<doi:10.3389/fsufs.2023.1208898>.

r-caplot 0.2
Propagated dependencies: r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-ca@0.71.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=caplot
Licenses: GPL 2+
Synopsis: Correspondence Analysis with Geometric Frequency Interpretation
Description:

This package performs Correspondence Analysis on the given dataframe and plots the results in a scatterplot that emphasizes the geometric interpretation aspect of the analysis, following Borg-Groenen (2005) and Yelland (2010). It is particularly useful for highlighting the relationships between a selected row (or column) category and the column (or row) categories. See Borg-Groenen (2005, ISBN:978-0-387-28981-6); Yelland (2010) <doi:10.3888/tmj.12-4>.

r-clonerate 0.2.3
Propagated dependencies: r-stanheaders@2.32.10 r-rstantools@2.5.0 r-rstan@2.32.7 r-rmpfr@1.1-2 r-rcppparallel@5.1.11-1 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-bh@1.87.0-1 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/bdj34/cloneRate
Licenses: Expat
Synopsis: Estimate Growth Rates from Phylogenetic Trees
Description:

Quickly estimate the net growth rate of a population or clone whose growth can be approximated by a birth-death branching process. Input should be phylogenetic tree(s) of clone(s) with edge lengths corresponding to either time or mutations. Based on coalescent results in Johnson et al. (2023) <doi:10.1093/bioinformatics/btad561>. Simulation techniques as well as growth rate methods build on prior work from Lambert A. (2018) <doi:10.1016/j.tpb.2018.04.005> and Stadler T. (2009) <doi:10.1016/j.jtbi.2009.07.018>.

r-cache 0.0.3
Propagated dependencies: r-here@1.0.2 r-digest@0.6.39 r-cli@3.6.5 r-assert@1.0.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/OlivierBinette/cache
Licenses: Expat
Synopsis: Cache and Retrieve Computation Results
Description:

Easily cache and retrieve computation results. The package works seamlessly across interactive R sessions, R scripts and Rmarkdown documents.

r-cmce 0.1.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cmce
Licenses: AGPL 3
Synopsis: Computer Model Calibration for Deterministic and Stochastic Simulators
Description:

This package implements the Bayesian calibration model described in Pratola and Chkrebtii (2018) <DOI:10.5705/ss.202016.0403> for stochastic and deterministic simulators. Additive and multiplicative discrepancy models are currently supported. See <http://www.matthewpratola.com/software> for more information and examples.

r-covid19dbcand 0.1.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/MohammedFCIS/covid19dbcand
Licenses: CC0
Synopsis: Selected 'Drugbank' Drugs for COVID-19 Treatment Related Data in R Format
Description:

This package provides different datasets parsed from Drugbank <https://www.drugbank.ca/covid-19> database using dbparser package. It is a smaller version from dbdataset package. It contains only information about COVID-19 possible treatment.

r-cytometree 2.0.6
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mclust@6.1.2 r-igraph@2.2.1 r-gofkernel@2.1-3 r-ggplot2@4.0.1 r-cowplot@1.2.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://sistm.github.io/cytometree/
Licenses: LGPL 3 FSDG-compatible
Synopsis: Automated Cytometry Gating and Annotation
Description:

Given the hypothesis of a bi-modal distribution of cells for each marker, the algorithm constructs a binary tree, the nodes of which are subpopulations of cells. At each node, observed cells and markers are modeled by both a family of normal distributions and a family of bi-modal normal mixture distributions. Splitting is done according to a normalized difference of AIC between the two families. Method is detailed in: Commenges, Alkhassim, Gottardo, Hejblum & Thiebaut (2018) <doi: 10.1002/cyto.a.23601>.

r-cgmquantify 0.1.0
Propagated dependencies: r-tidyverse@2.0.0 r-magrittr@2.0.4 r-hms@1.1.4 r-ggplot2@4.0.1 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=cgmquantify
Licenses: FSDG-compatible
Synopsis: Analyzing Glucose and Glucose Variability
Description:

Continuous glucose monitoring (CGM) systems provide real-time, dynamic glucose information by tracking interstitial glucose values throughout the day. Glycemic variability, also known as glucose variability, is an established risk factor for hypoglycemia (Kovatchev) and has been shown to be a risk factor in diabetes complications. Over 20 metrics of glycemic variability have been identified. Here, we provide functions to calculate glucose summary metrics, glucose variability metrics (as defined in clinical publications), and visualizations to visualize trends in CGM data. Cho P, Bent B, Wittmann A, et al. (2020) <https://diabetes.diabetesjournals.org/content/69/Supplement_1/73-LB.abstract> American Diabetes Association (2020) <https://professional.diabetes.org/diapro/glucose_calc> Kovatchev B (2019) <doi:10.1177/1932296819826111> Kovdeatchev BP (2017) <doi:10.1038/nrendo.2017.3> Tamborlane W V., Beck RW, Bode BW, et al. (2008) <doi:10.1056/NEJMoa0805017> Umpierrez GE, P. Kovatchev B (2018) <doi:10.1016/j.amjms.2018.09.010>.

r-clustertend 1.7
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=clustertend
Licenses: Expat
Synopsis: Check the Clustering Tendency
Description:

Calculate some statistics aiming to help analyzing the clustering tendency of given data. In the first version, Hopkins statistic is implemented. See Hopkins and Skellam (1954) <doi:10.1093/oxfordjournals.aob.a083391>.

r-clustshiny 0.1.0
Propagated dependencies: r-shiny@1.11.1 r-rmarkdown@2.30 r-psycho@0.6.1 r-mass@7.3-65 r-klar@1.7-3 r-dplyr@1.1.4 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CLUSTShiny
Licenses: GPL 2
Synopsis: Interactive Document for Working with Cluster Analysis
Description:

An interactive document on the topic of cluster analysis using rmarkdown and shiny packages. Runtime examples are provided in the package function as well as at <https://analyticmodels.shinyapps.io/ClusterAnalysis/>.

r-conformalforecast 0.1.0
Propagated dependencies: r-zoo@1.8-14 r-rlang@1.1.6 r-ggdist@3.3.3 r-forecast@8.24.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/xqnwang/conformalForecast
Licenses: GPL 3
Synopsis: Conformal Prediction Methods for Multistep-Ahead Time Series Forecasting
Description:

This package provides methods and tools for performing multistep-ahead time series forecasting using conformal prediction methods including classical conformal prediction, adaptive conformal prediction, conformal PID (Proportional-Integral-Derivative) control, and autocorrelated multistep-ahead conformal prediction. The methods were described by Wang and Hyndman (2024) <doi:10.48550/arXiv.2410.13115>.

r-campsis 1.7.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-purrr@1.2.0 r-progressr@0.18.0 r-mass@7.3-65 r-ggplot2@4.0.1 r-future@1.68.0 r-furrr@0.3.1 r-dplyr@1.1.4 r-digest@0.6.39 r-campsismod@1.2.3 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/Calvagone/campsis
Licenses: GPL 3+
Synopsis: Generic PK/PD Simulation Platform CAMPSIS
Description:

This package provides a generic, easy-to-use and intuitive pharmacokinetic/pharmacodynamic (PK/PD) simulation platform based on R packages rxode2 and mrgsolve'. CAMPSIS provides an abstraction layer over the underlying processes of writing a PK/PD model, assembling a custom dataset and running a simulation. CAMPSIS has a strong dependency to the R package campsismod', which allows to read/write a model from/to files and adapt it further on the fly in the R environment. Package campsis allows the user to assemble a dataset in an intuitive manner. Once the userâ s dataset is ready, the package is in charge of preparing the simulation, calling rxode2 or mrgsolve (at the user's choice) and returning the results, for the given model, dataset and desired simulation settings.

r-compindexbuilder 1.0.0
Propagated dependencies: r-zoo@1.8-14 r-tidyr@1.3.1 r-tibble@3.3.0 r-shinydashboard@0.7.3 r-shiny@1.11.1 r-readxl@1.4.5 r-psych@2.5.6 r-plotly@4.11.0 r-networkd3@0.4.1 r-missforest@1.6.1 r-ggplot2@4.0.1 r-forecast@8.24.0 r-dt@0.34.0 r-dplyr@1.1.4 r-corrplot@0.95
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=compIndexBuilder
Licenses: GPL 3
Synopsis: Composite Index Builder & Analytics 'shiny' App
Description:

This package provides an interactive shiny web application for constructing, analyzing, and visualizing composite indices from multidimensional datasets. Users can upload or select indicator data, group variables into logical categories, apply normalization and weighting methods (such as equal or custom schemes), and compute aggregate composite indices. The shiny interface includes tools for exploring results through tables, plots, and data exports, making it useful for researchers, policymakers, and analysts interested in index-based evaluations.

r-ceramic 0.9.5
Propagated dependencies: r-wk@0.9.4 r-vapour@0.15.0 r-tibble@3.3.0 r-terra@1.8-86 r-stringr@1.6.0 r-sp@2.2-0 r-slippymath@0.3.1 r-rlang@1.1.6 r-rappdirs@0.3.3 r-purrr@1.2.0 r-glue@1.8.0 r-fs@1.6.6 r-dplyr@1.1.4 r-curl@7.0.0 r-crsmeta@0.3.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://hypertidy.github.io/ceramic/
Licenses: GPL 3
Synopsis: Download Online Imagery Tiles
Description:

Download imagery tiles to a standard cache and load the data into raster objects. Facilities for AWS terrain <https://registry.opendata.aws/terrain-tiles/> terrain and Mapbox <https://www.mapbox.com/> servers are provided.

r-contactdata 1.1.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://hugogruson.fr/contactdata/
Licenses: Expat
Synopsis: Social Contact Matrices for 177 Countries
Description:

Data package for the supplementary data in Prem et al. (2017) <doi:10.1371/journal.pcbi.1005697> and Prem et al. <doi:10.1371/journal.pcbi.1009098>. Provides easy access to contact data for 177 countries, for use in epidemiological, demographic or social sciences research.

r-clogitboost 1.1
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=clogitboost
Licenses: GPL 2+
Synopsis: Boosting Conditional Logit Model
Description:

This package provides a set of functions to fit a boosting conditional logit model.

r-covsim 1.1.0
Propagated dependencies: r-tmvtnorm@1.7 r-rvinecopulib@0.7.3.1.0 r-pearsonds@1.3.2 r-nleqslv@3.3.5 r-matrix@1.7-4 r-mass@7.3-65 r-lavaan@0.6-20
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=covsim
Licenses: GPL 2+
Synopsis: VITA, IG and PLSIM Simulation for Given Covariance and Marginals
Description:

Random sampling from distributions with user-specified population covariance matrix. Marginal information may be fully specified, for which the package implements the VITA (VIne-To-Anything) algorithm Grønneberg and Foldnes (2017) <doi:10.1007/s11336-017-9569-6>. See also Grønneberg, Foldnes and Marcoulides (2022) <doi:10.18637/jss.v102.i03>. Alternatively, marginal skewness and kurtosis may be specified, for which the package implements the IG (independent generator) and PLSIM (piecewise linear) algorithms, see Foldnes and Olsson (2016) <doi:10.1080/00273171.2015.1133274> and Foldnes and Grønneberg (2021) <doi:10.1080/10705511.2021.1949323>, respectively.

r-condoroptions 1.0.1
Propagated dependencies: r-tibble@3.3.0 r-magrittr@2.0.4 r-ggplot2@4.0.1 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=condorOptions
Licenses: GPL 3
Synopsis: Trading Condor Options Strategies
Description:

Trading of Condor Options Strategies is represented here through their Graphs. The graphic indicators, strategies, calculations, functions and all the discussions are for academic, research, and educational purposes only and should not be construed as investment advice and come with absolutely no Liability. Guy Cohen (â The Bible of Options Strategies (2nd ed.)â , 2015, ISBN: 9780133964028). Zura Kakushadze, Juan A. Serur (â 151 Trading Strategiesâ , 2018, ISBN: 9783030027919). John C. Hull (â Options, Futures, and Other Derivatives (11th ed.)â , 2022, ISBN: 9780136939979).

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Total results: 68249