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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 search send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.


r-catirt 0.5.1
Propagated dependencies: r-numderiv@2016.8-1.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/swnydick/catIrt
Licenses: GPL 2+
Build system: r
Synopsis: Simulate IRT-Based Computerized Adaptive Tests
Description:

This package provides functions designed to simulate data that conform to basic unidimensional IRT models (for now 3-parameter binary response models and graded response models) along with Post-Hoc CAT simulations of those models given various item selection methods, ability estimation methods, and termination criteria. See Wainer (2000) <doi:10.4324/9781410605931>, van der Linden & Pashley (2010) <doi:10.1007/978-0-387-85461-8_1>, and Eggen (1999) <doi:10.1177/01466219922031365> for more details.

r-clic 0.1
Propagated dependencies: r-laplacesdemon@16.1.8 r-fbasics@4052.98
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CLIC
Licenses: Expat
Build system: r
Synopsis: The LIC for Distributed Cosine Regression Analysis
Description:

This comprehensive framework for periodic time series modeling is designated as "CLIC" (The LIC for Distributed Cosine Regression Analysis) analysis. It is predicated on the assumption that the underlying data exhibits complex periodic structures beyond simple harmonic components. The philosophy of the method is articulated in Guo G. (2020) <doi:10.1080/02664763.2022.2053949>.

r-caramel 1.5
Propagated dependencies: r-geometry@0.5.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/fzao/caRamel
Licenses: GPL 3 FSDG-compatible
Build system: r
Synopsis: Automatic Calibration by Evolutionary Multi Objective Algorithm
Description:

The caRamel optimizer has been developed to meet the requirement for an automatic calibration procedure that delivers a family of parameter sets that are optimal with regard to a multi-objective target (Monteil et al. <doi:10.5194/hess-24-3189-2020>).

r-ccremover 1.0.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=ccRemover
Licenses: GPL 3
Build system: r
Synopsis: Removes the Cell-Cycle Effect from Single-Cell RNA-Sequencing Data
Description:

This package implements a method for identifying and removing the cell-cycle effect from scRNA-Seq data. The description of the method is in Barron M. and Li J. (2016) <doi:10.1038/srep33892>. Identifying and removing the cell-cycle effect from single-cell RNA-Sequencing data. Submitted. Different from previous methods, ccRemover implements a mechanism that formally tests whether a component is cell-cycle related or not, and thus while it often thoroughly removes the cell-cycle effect, it preserves other features/signals of interest in the data.

r-cagr 1.1.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CAGR
Licenses: GPL 3
Build system: r
Synopsis: Compound Annual Growth Rate
Description:

This package provides a time series usually does not have a uniform growth rate. Compound Annual Growth Rate measures the average annual growth over a given period. More details can be found in Bardhan et al. (2022) <DOI:10.18805/ag.D-5418>.

r-clarify 0.2.3
Propagated dependencies: r-rlang@1.2.0 r-pbapply@1.7-4 r-marginaleffects@0.32.0 r-insight@1.5.1 r-ggplot2@4.0.3 r-cli@3.6.6 r-arg@0.2.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/iqss/clarify
Licenses: GPL 3+
Build system: r
Synopsis: Simulation-Based Inference for Regression Models
Description:

This package performs simulation-based inference as an alternative to the delta method for obtaining valid confidence intervals and p-values for regression post-estimation quantities, such as average marginal effects and predictions at representative values. This framework for simulation-based inference is especially useful when the resulting quantity is not normally distributed and the delta method approximation fails. The methodology is described in Greifer, et al. (2025) <doi:10.32614/RJ-2024-015>. clarify is meant to replace some of the functionality of the archived package Zelig'; see the vignette "Translating Zelig to clarify" for replicating this functionality.

r-cliot 1.0.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cliot
Licenses: GPL 3
Build system: r
Synopsis: Clinical Indices and Outcomes Tools
Description:

Collection of indices and tools relating to clinical research that aid epidemiological cohort or retrospective chart review with big data. All indices and tools take commonly used lab values, patient demographics, and clinical measurements to compute various risk and predictive values for survival or further classification/stratification. References to original literature and validation contained in each function documentation. Includes all commonly available calculators available online.

r-capitalr 1.3.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=capitalR
Licenses: GPL 3
Build system: r
Synopsis: Capital Budgeting Analysis, Annuity Loan Calculations and Amortization Schedules
Description:

This package provides Capital Budgeting Analysis functionality and the essential Annuity loan functions. Also computes Loan Amortization Schedules including schedules with irregular payments.

r-cforward 0.2.0
Propagated dependencies: r-tibble@3.3.1 r-survival@3.8-6 r-magrittr@2.0.5 r-dplyr@1.2.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/muschellij2/cforward
Licenses: GPL 3
Build system: r
Synopsis: Forward Selection using Concordance/C-Index
Description:

This package performs forward model selection, using the C-index/concordance in survival analysis models.

r-curves 0.4.0
Propagated dependencies: r-ggplot2@4.0.3 r-cowplot@1.2.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/rvalavi/curves
Licenses: GPL 3
Build system: r
Synopsis: Model-Agnostic Response Curves for Fitted Models
Description:

Create model-agnostic response-curve diagnostics for fitted prediction models. Supports profile curves, partial dependence, individual conditional expectation, and accumulated local effects; univariate curves, bivariate surfaces, ensemble summaries across multiple models, ALE-based interaction ranking, and optional raster-linked exploration with terra and shiny'. Static displays are returned as ggplot2 plots. For more details on the methods see Molnar (2025) <https://christophm.github.io/interpretable-ml-book/>.

r-changepoint-influence 1.0.2
Propagated dependencies: r-reshape@0.8.10 r-gridextra@2.3 r-ggplot2@4.0.3 r-data-table@1.18.4 r-changepoint@2.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/rkillick/changepoint.influence/
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Package to Calculate the Influence of the Data on a Changepoint Segmentation
Description:

Allows users to input their data, segmentation and function used for the segmentation (and additional arguments) and the package calculates the influence of the data on the changepoint locations, see Wilms et al. (2022) <doi:10.1080/10618600.2021.2000873>. Currently this can only be used with the changepoint package functions to identify changes, but we plan to extend this. There are options for different types of graphics to assess the influence.

r-conquestr 1.5.5
Propagated dependencies: r-zlib@1.0.3 r-tidyselect@1.2.1 r-tidyr@1.3.2 r-stringr@1.6.0 r-rlang@1.2.0 r-rcpp@1.1.1-1.1 r-magrittr@2.0.5 r-kableextra@1.4.0 r-ggrepel@0.9.8 r-ggplot2@4.0.3 r-dplyr@1.2.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://www.acer.org/au/conquest
Licenses: GPL 3
Build system: r
Synopsis: An R Package to Extend 'ACER ConQuest'
Description:

Extends ACER ConQuest through a family of functions designed to improve graphical outputs and help with advanced analysis (e.g., differential item functioning). Allows R users to call ACER ConQuest from within R and read ACER ConQuest System Files (generated by the command `put` <https://conquestmanual.acer.org/s4-00.html#put>). Requires ACER ConQuest version 5.40 or later. A demonstration version can be downloaded from <https://shop.acer.org/acer-conquest-5.html>.

r-cpp4r 1.1.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cpp4r.org
Licenses: FSDG-compatible
Build system: r
Synopsis: Header-Only 'C++' and 'R' Interface
Description:

This package provides a header only, C++ interface to R with enhancements over cpp11'. Enforces copy-on-write semantics consistent with R behavior. Offers native support for ALTREP objects, UTF-8 string handling, modern C++ features and idioms, and reduced memory requirements. Allows for vendoring, making it useful for restricted environments. Compared to cpp11', it adds support for converting C++ maps to R lists, Roxygen documentation directly in C++ code, proper handling of matrix attributes, support for nullable external pointers, bidirectional copy of complex number types, flexibility in type conversions, use of nullable pointers, and various performance optimizations.

r-contactsurveys 0.2.0
Propagated dependencies: r-zen4r@0.10.6 r-yesno@0.1.3 r-rlang@1.2.0 r-purrr@1.2.2 r-oai@0.4.0 r-jsonlite@2.0.0 r-data-table@1.18.4 r-cli@3.6.6
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/epiforecasts/contactsurveys
Licenses: Expat
Build system: r
Synopsis: Download Contact Surveys for Use in Infectious Disease Modelling
Description:

Download, cache, and manage social contact survey data from the social contact data community on Zenodo (<https://zenodo.org/communities/social_contact_data>) for use in infectious disease modelling. Provides functions to list available surveys, download survey files with automatic caching, and retrieve citations. Contact survey data describe who contacts whom in a population and are used to parameterise age-structured transmission models, for example via the socialmixr package. The surveys available include those from the POLYMOD study (Mossong et al. (2008) <doi:10.1371/journal.pmed.0050074>) and other social contact data shared on Zenodo.

r-cogirt 1.0.0
Propagated dependencies: r-numderiv@2016.8-1.1 r-mvtnorm@1.3-7 r-mass@7.3-65 r-coda@0.19-4.1 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cogirt
Licenses: GPL 3+
Build system: r
Synopsis: Cognitive Testing Using Item Response Theory
Description:

Psychometrically analyze latent individual differences related to tasks, interventions, or maturational/aging effects in the context of experimental or longitudinal cognitive research using methods first described by Thomas et al. (2020) <doi:10.1177/0013164420919898>.

r-ctmm 1.3.0
Propagated dependencies: r-terra@1.9-27 r-statmod@1.5.2 r-sp@2.2-1 r-shape@1.4.6.1 r-sf@1.1-1 r-raster@3.6-32 r-pracma@2.4.6 r-pbivnorm@0.6.0 r-parsedate@1.3.2 r-numderiv@2016.8-1.1 r-mass@7.3-65 r-manipulate@1.0.1 r-gsl@2.1-9 r-gmedian@1.2.7 r-fasttime@1.1-0 r-expm@1.0-0 r-digest@0.6.39 r-data-table@1.18.4 r-bessel@0.7-0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/ctmm-initiative/ctmm
Licenses: GPL 3
Build system: r
Synopsis: Continuous-Time Movement Modeling
Description:

This package provides functions for identifying, fitting, and applying continuous-space, continuous-time stochastic-process movement models to animal tracking data. The package is described in Calabrese et al (2016) <doi:10.1111/2041-210X.12559>, with models and methods based on those introduced and detailed in Fleming & Calabrese et al (2014) <doi:10.1086/675504>, Fleming et al (2014) <doi:10.1111/2041-210X.12176>, Fleming et al (2015) <doi:10.1103/PhysRevE.91.032107>, Fleming et al (2015) <doi:10.1890/14-2010.1>, Fleming et al (2016) <doi:10.1890/15-1607>, Péron & Fleming et al (2016) <doi:10.1186/s40462-016-0084-7>, Fleming & Calabrese (2017) <doi:10.1111/2041-210X.12673>, Péron et al (2017) <doi:10.1002/ecm.1260>, Fleming et al (2017) <doi:10.1016/j.ecoinf.2017.04.008>, Fleming et al (2018) <doi:10.1002/eap.1704>, Winner & Noonan et al (2018) <doi:10.1111/2041-210X.13027>, Fleming et al (2019) <doi:10.1111/2041-210X.13270>, Noonan & Fleming et al (2019) <doi:10.1186/s40462-019-0177-1>, Fleming et al (2020) <doi:10.1101/2020.06.12.130195>, Noonan et al (2021) <doi:10.1111/2041-210X.13597>, Fleming et al (2022) <doi:10.1111/2041-210X.13815>, Silva et al (2022) <doi:10.1111/2041-210X.13786>, Alston & Fleming et al (2023) <doi:10.1111/2041-210X.14025>.

r-combo 1.2.0
Dependencies: jags@4.3.1
Propagated dependencies: r-turboem@2025.1 r-tidyr@1.3.2 r-samba@1.0.0 r-rjags@4-17 r-matrix@1.7-5 r-dplyr@1.2.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=COMBO
Licenses: Expat
Build system: r
Synopsis: Correcting Misclassified Binary Outcomes in Association Studies
Description:

Use frequentist and Bayesian methods to estimate parameters from a binary outcome misclassification model. These methods correct for the problem of "label switching" by assuming that the sum of outcome sensitivity and specificity is at least 1. A description of the analysis methods is available in Hochstedler and Wells (2023) <doi:10.48550/arXiv.2303.10215>.

r-commecol 1.8.1
Propagated dependencies: r-vegan@2.7-3 r-rncl@0.8.9 r-picante@1.8.2 r-gmp@0.7-5.1 r-betapart@1.6.1 r-ape@5.8-1 r-adespatial@0.3-29
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CommEcol
Licenses: GPL 2
Build system: r
Synopsis: Community Ecology Analyses
Description:

Autosimilarity curves, standardization of spatial extent, dissimilarity indexes that overweight rare species, phylogenetic and functional (pairwise and multisample) dissimilarity indexes and nestedness for phylogenetic, functional and other diversity metrics. The methods for phylogenetic and functional nestedness is described in Melo, Cianciaruso and Almeida-Neto (2014) <doi:10.1111/2041-210X.12185>. This should be a complement to available packages, particularly vegan'.

r-copernicusdataspace 0.0.5
Propagated dependencies: r-xml2@1.5.2 r-tidyr@1.3.2 r-tibble@3.3.1 r-stringr@1.6.0 r-sf@1.1-1 r-rlang@1.2.0 r-paws-storage@0.9.0 r-memoise@2.0.1 r-lubridate@1.9.5 r-jsonlite@2.0.0 r-httr2@1.2.2 r-dplyr@1.2.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/pepijn-devries/CopernicusDataspace
Licenses: GPL 3+
Build system: r
Synopsis: Search Download and Handle Data from the Copernicus Data Space Ecosystem
Description:

The Copernicus Data Space Ecosystem, is an open ecosystem that provides free instant access to a wide range of data and services from the Copernicus Sentinel missions and more on our planetâ s land, oceans and atmosphere. This package provides entry points to several APIs allowing users to access the data directly in R.

r-coxaalencr 0.1.0
Propagated dependencies: r-survival@3.8-6
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CoxAalenCR
Licenses: GPL 3+
Build system: r
Synopsis: Additive-Multiplicative Cox-Aalen Subdistribution Hazard Model for Competing Risks
Description:

This package implements the flexible additive-multiplicative Cox-Aalen subdistribution hazard regression model for competing risks data as proposed by Li and Long (2019) <doi:10.1007/s11424-019-7281-6>. The framework accommodates both time-varying non-parametric additive covariate effects through an Aalen (1980) additive model and constant multiplicative effects via a Cox proportional hazards structure, generalizing Scheike and Zhang (2002) <doi:10.1111/1467-9469.00065> and Martinussen and Scheike (2002) <doi:10.1093/biomet/89.2.283>. Includes inverse probability of censoring weighting (IPCW) with both Kaplan-Meier weights (Fine and Gray, 1999 <doi:10.1080/01621459.1999.10474144>) and covariate-dependent Cox censoring weights (He et al., 2016 <doi:10.1111/sjos.12172>; Li and Long, 2019 <doi:10.1007/s11424-019-7281-6>). Provides simultaneous estimating equations based on Huffer and McKeague (1991) <doi:10.1080/01621459.1991.10475010>, asymptotic sandwich variance estimation with censoring-weight martingale corrections, cumulative incidence function (CIF) prediction with pointwise confidence intervals, supremum-type goodness-of-fit tests for time-varying covariate effects, and Monte Carlo competing risks data simulation.

r-clustshiny 0.1.0
Propagated dependencies: r-shiny@1.13.0 r-rmarkdown@2.31 r-psycho@0.6.2 r-mass@7.3-65 r-klar@1.7-4 r-dplyr@1.2.1 r-cluster@2.1.8.2
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
Build system: r
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-cdsampling 0.1.6
Propagated dependencies: r-rglpk@0.6-5.1 r-lpsolve@5.6.23
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CDsampling
Licenses: Expat
Build system: r
Synopsis: Constrained Sampling in Paid Research Studies
Description:

In the context of paid research studies and clinical trials, budget considerations and patient sampling from available populations are subject to inherent constraints. We introduce the CDsampling package, which integrates optimal design theories within the framework of constrained sampling. This package offers the possibility to find both D-optimal approximate and exact allocations for samplings with or without constraints. Additionally, it provides functions to find constrained uniform sampling as a robust sampling strategy with limited model information. Our package offers functions for the computation of the Fisher information matrix under generalized linear models (including regular linear regression model) and multinomial logistic models.To demonstrate the applications, we also provide a simulated dataset and a real dataset embedded in the package. Yifei Huang, Liping Tong, and Jie Yang (2025)<doi:10.5705/ss.202022.0414>.

r-cnmap 0.1.2
Propagated dependencies: r-terra@1.9-27 r-sf@1.1-1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/PanfengZhang/cnmap
Licenses: GPL 3
Build system: r
Synopsis: China Map Data from AutoNavi Map
Description:

According to the codes and names of county-level and above administrative divisions released in 2022 by the Ministry of Civil Affairs of the People's Republic of China, the online vector map files were retrieved from the website (available at: <http://datav.aliyun.com/portal/school/atlas/area_selector>). This study was supported by the National Natural Science Foundation of China (NSFC, Grant No. 42205177).

r-compositionalmpt 1.0
Propagated dependencies: r-rfast2@0.1.5.6 r-rfast@2.1.5.2 r-compositional@8.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CompositionalMPT
Licenses: GPL 2+
Build system: r
Synopsis: Compositional Data Two-Sample Test of Equal Distributions
Description:

Two-sample tests of equal distributions for compositional data, with zero values present. The p-value is computed via permutations. The relevant papers are Stewart C., Iverson S. and Field C. (2014). "Testing for a diet change using fatty acid signatures". Environmental and Ecological Statistics, <doi:10.1007/s10651-014-0280-9> and Sevinc V. and Tsagris. M. (2026). "Energy Based Equality of Distributions Testing for Compositional Data". Communications in Statistics--Simulation and Computation, <doi:10.1080/03610918.2026.2636167>.

Total packages: 73955