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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-countr 3.6.1
Propagated dependencies: r-vgam@1.1-13 r-standardize@0.2.2 r-rdpack@2.6.4 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-pscl@1.5.9 r-optimx@2025-4.9 r-numderiv@2016.8-1.1 r-matrix@1.7-4 r-mass@7.3-65 r-formula@1.2-5 r-flexsurv@2.3.2 r-dplyr@1.1.4 r-car@3.1-3 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://geobosh.github.io/Countr/
Licenses: GPL 2+
Build system: r
Synopsis: Flexible Univariate Count Models Based on Renewal Processes
Description:

Flexible univariate count models based on renewal processes. The models may include covariates and can be specified with familiar formula syntax as in glm() and package flexsurv'. The methodology is described by Kharrat et all (2019) <doi:10.18637/jss.v090.i13> (included as vignette Countr_guide in the package).

r-cppsim 0.2
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://ischlo.github.io/cppSim/
Licenses: Expat
Build system: r
Synopsis: Fast and Memory Efficient Spatial Interaction Models
Description:

Building on top of the RcppArmadillo linear algebra functionalities to do fast spatial interaction models in the context of urban analytics, geography, transport modelling. It uses the Newton root search algorithm to determine the optimal cost exponent and can run country level models with thousands of origins and destinations. It aims at implementing an easy approach based on matrices, that can originate from various routing and processing steps earlier in an workflow. Currently, the simplest form of production, destination and doubly constrained models are implemented. Schlosser et al. (2023) <doi:10.48550/arXiv.2309.02112>.

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-clusscluster 0.1.0
Propagated dependencies: r-venndiagram@1.7.3 r-scales@1.4.0 r-rlang@1.1.6 r-reshape2@1.4.5 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=ClussCluster
Licenses: GPL 3
Build system: r
Synopsis: Simultaneous Detection of Clusters and Cluster-Specific Genes in High-Throughput Transcriptome Data
Description:

This package implements a new method ClussCluster descried in Ge Jiang and Jun Li, "Simultaneous Detection of Clusters and Cluster-Specific Genes in High-throughput Transcriptome Data" (Unpublished). Simultaneously perform clustering analysis and signature gene selection on high-dimensional transcriptome data sets. To do so, ClussCluster incorporates a Lasso-type regularization penalty term to the objective function of K- means so that cell-type-specific signature genes can be identified while clustering the cells.

r-circle 0.7.4
Propagated dependencies: r-jsonlite@2.0.0 r-httr@1.4.7 r-gh@1.5.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://docs.ropensci.org/circle/
Licenses: GPL 3
Build system: r
Synopsis: R Client Package for Circle CI
Description:

This package provides tools for interacting with the Circle CI API (<https://circleci.com/docs/api/v2/>). Besides executing common tasks such as querying build logs and restarting builds, this package also helps setting up permissions to deploy from builds.

r-colf 0.1.3
Propagated dependencies: r-nlsr@2023.8.31
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/LyzandeR/colf
Licenses: Expat
Build system: r
Synopsis: Constrained Optimization on Linear Function
Description:

This package performs least squares constrained optimization on a linear objective function. It contains a number of algorithms to choose from and offers a formula syntax similar to lm().

r-countdown 0.6.0
Propagated dependencies: r-prismatic@1.1.2 r-htmltools@0.5.8.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://pkg.garrickadenbuie.com/countdown/
Licenses: Expat
Build system: r
Synopsis: Countdown Timer for HTML Presentations, Documents, and Web Apps
Description:

This package provides a simple countdown timer for slides and HTML documents written in R Markdown or Quarto'. Integrates fully into Shiny apps. Countdown to something amazing.

r-condmvt 0.1.1
Propagated dependencies: r-mvtnorm@1.3-3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CondMVT
Licenses: Expat
Build system: r
Synopsis: Conditional Multivariate t Distribution, Expectation Maximization Algorithm, and Its Stochastic Variants
Description:

Computes conditional multivariate t probabilities, random deviates, and densities. It can also be used to create missing values at random in a dataset, resulting in a missing at random (MAR) mechanism. Inbuilt in the package are the Expectation-Maximization (EM), Monte Carlo EM, and Stochastic EM algorithms for imputation of missing values in datasets assuming the multivariate t distribution. See Kinyanjui, Tamba, Orawo, and Okenye (2020)<doi:10.3233/mas-200493>, and Kinyanjui, Tamba, and Okenye(2021)<http://www.ceser.in/ceserp/index.php/ijamas/article/view/6726/0> for more details.

r-clump 0.8.1
Propagated dependencies: r-tableone@0.13.2 r-rlang@1.1.6 r-nbclust@3.0.1 r-mass@7.3-65 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-data-table@1.17.8 r-amap@0.8-20
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://arxiv.org/ftp/arxiv/papers/1807/1807.05926.pdf
Licenses: GPL 3+
Build system: r
Synopsis: Clustering of Micro Panel Data
Description:

Two-step feature-based clustering method designed for micro panel (longitudinal) data with the artificial panel data generator. See Sobisek, Stachova, Fojtik (2018) <arXiv:1807.05926>.

r-cohortcharacteristics 1.1.1
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-snakecase@0.11.1 r-rlang@1.1.6 r-purrr@1.2.0 r-patientprofiles@1.4.5 r-omopgenerics@1.3.6 r-lifecycle@1.0.4 r-dplyr@1.1.4 r-clock@0.7.3 r-cli@3.6.5 r-cdmconnector@2.3.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://darwin-eu.github.io/CohortCharacteristics/
Licenses: FSDG-compatible
Build system: r
Synopsis: Summarise and Visualise Characteristics of Patients in the OMOP CDM
Description:

Summarise and visualise the characteristics of patients in data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model (CDM).

r-crsmeta 0.3.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/hypertidy/crsmeta
Licenses: GPL 3
Build system: r
Synopsis: Extract Coordinate System Metadata
Description:

Obtain coordinate system metadata from various data formats. There are functions to extract a CRS (coordinate reference system, <https://en.wikipedia.org/wiki/Spatial_reference_system>) in EPSG (European Petroleum Survey Group, <http://www.epsg.org/>), PROJ4 <https://proj.org/>, or WKT2 (Well-Known Text 2, <http://docs.opengeospatial.org/is/12-063r5/12-063r5.html>) forms. This is purely for getting simple metadata from in-memory formats, please use other tools for out of memory data sources.

r-clmstan 0.1.0
Propagated dependencies: r-posterior@1.6.1 r-loo@2.8.0 r-instantiate@0.2.3 r-bayesplot@1.14.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://t-momozaki.github.io/clmstan/
Licenses: Expat
Build system: r
Synopsis: Cumulative Link Models with 'CmdStanR'
Description:

Fits cumulative link models (CLMs) for ordinal categorical data using CmdStanR'. Supports various link functions including logit, probit, cloglog, loglog, cauchit, and flexible parametric links such as Generalized Extreme Value (GEV), Asymmetric Exponential Power (AEP), and Symmetric Power. Models are pre-compiled using the instantiate package for fast execution without runtime compilation. Methods are described in Agresti (2010, ISBN:978-0-470-08289-8), Wang and Dey (2011) <doi:10.1007/s10651-010-0154-8>, and Naranjo, Perez, and Martin (2015) <doi:10.1007/s11222-014-9449-1>.

r-chandwich 1.1.6
Propagated dependencies: r-numderiv@2016.8-1.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://paulnorthrop.github.io/chandwich/
Licenses: GPL 2+
Build system: r
Synopsis: Chandler-Bate Sandwich Loglikelihood Adjustment
Description:

This package performs adjustments of a user-supplied independence loglikelihood function using a robust sandwich estimator of the parameter covariance matrix, based on the methodology in Chandler and Bate (2007) <doi:10.1093/biomet/asm015>. This can be used for cluster correlated data when interest lies in the parameters of the marginal distributions or for performing inferences that are robust to certain types of model misspecification. Functions for profiling the adjusted loglikelihoods are also provided, as are functions for calculating and plotting confidence intervals, for single model parameters, and confidence regions, for pairs of model parameters. Nested models can be compared using an adjusted likelihood ratio test.

r-cadftest 0.3-3
Propagated dependencies: r-urca@1.3-4 r-tseries@0.10-58 r-sandwich@3.1-1 r-dynlm@0.3-6
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: http://www.jstatsoft.org/v32/i02
Licenses: GPL 2+
Build system: r
Synopsis: Package to Perform Covariate Augmented Dickey-Fuller Unit Root Tests
Description:

Hansen's (1995) Covariate-Augmented Dickey-Fuller (CADF) test. The only required argument is y, the Tx1 time series to be tested. If no stationary covariate X is passed to the procedure, then an ordinary ADF test is performed. The p-values of the test are computed using the procedure illustrated in Lupi (2009).

r-clustvarlv 2.1.1
Propagated dependencies: r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-plyr@1.8.9 r-iterators@1.0.14 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=ClustVarLV
Licenses: GPL 3
Build system: r
Synopsis: Clustering of Variables Around Latent Variables
Description:

This package provides functions for the clustering of variables around Latent Variables, for 2-way or 3-way data. Each cluster of variables, which may be defined as a local or directional cluster, is associated with a latent variable. External variables measured on the same observations or/and additional information on the variables can be taken into account. A "noise" cluster or sparse latent variables can also be defined.

r-cdom 0.1.0
Propagated dependencies: r-tidyr@1.3.1 r-minpack-lm@1.2-4 r-ggplot2@4.0.1 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/PMassicotte/cdom
Licenses: GPL 2+
Build system: r
Synopsis: R Functions to Model CDOM Spectra
Description:

Wrapper functions to model and extract various quantitative information from absorption spectra of chromophoric dissolved organic matter (CDOM).

r-circlus 0.0.2
Propagated dependencies: r-torch@0.16.3 r-tinflex@2.4 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-flexmix@2.3-20
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/lsablica/circlus
Licenses: GPL 3
Build system: r
Synopsis: Clustering and Simulation of Spherical Cauchy and PKBD Models
Description:

This package provides tools for estimation and clustering of spherical data, seamlessly integrated with the flexmix package. Includes the necessary M-step implementations for both Poisson Kernel-Based Distribution (PKBD) and spherical Cauchy distribution. Additionally, the package provides random number generators for PKBD and spherical Cauchy distribution. Methods are based on Golzy M., Markatou M. (2020) <doi:10.1080/10618600.2020.1740713>, Kato S., McCullagh P. (2020) <doi:10.3150/20-bej1222> and Sablica L., Hornik K., Leydold J. (2023) <doi:10.1214/23-ejs2149>.

r-cocoon 0.3.0
Propagated dependencies: r-rlang@1.1.6 r-lifecycle@1.0.4 r-dplyr@1.1.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/JeffreyRStevens/cocoon
Licenses: GPL 3+
Build system: r
Synopsis: Extract, Format, and Print Statistical Output
Description:

This package provides functions that format statistical output in a way that can be inserted into R Markdown documents. This is analogous to the apa_print() functions in the papaja package but prints Markdown or LaTeX syntax.

r-colocalization 1.0.2
Propagated dependencies: r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=colocalization
Licenses: GPL 3
Build system: r
Synopsis: Normalized Spatial Intensity Correlation
Description:

Calculate the colocalization index, NSInC, in two different ways as described in the paper (Liu et al., 2019. Manuscript submitted for publication.) for multiple-species spatial data which contain the precise locations and membership of each spatial point. The two main functions are nsinc.d() and nsinc.z(). They provide the PearsonĂ¢ s correlation coefficients of signal proportions in different memberships within a concerned proximity of every signal (or every base signal if single direction colocalization is considered) across all (base) signals using two different ways of normalization. The proximity sizes could be an individual value or a range of values, where the default ranges of values are different for the two functions.

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-covfefe 1.0.0
Propagated dependencies: r-tokenizers@0.3.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/mkirch/covfefe
Licenses: GPL 3+
Build system: r
Synopsis: Political Linguistics Toolkit - Gaffes, Phonetics, and Text Transformation
Description:

This package provides a comprehensive toolkit for political linguistics featuring a museum of famous digital gaffes, phonetic transformation algorithms (Soundex, consonant shifts), QWERTY keyboard geometry for typo simulation, syllable parsing, word blending (portmanteau creation), and text corruption analysis. Originally inspired by the infamous "covfefe" tweet of 2017.

r-countseppm 3.1
Propagated dependencies: r-numderiv@2016.8-1.1 r-lmtest@0.9-40 r-formula@1.2-5 r-expm@1.0-0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CountsEPPM
Licenses: GPL 2
Build system: r
Synopsis: Mean and Variance Modeling of Count Data
Description:

Modeling under- and over-dispersed count data using extended Poisson process models as in the article Faddy and Smith (2011) <doi:10.18637/jss.v069.i06> .

r-cosmofns 1.1-2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cosmoFns
Licenses: GPL 2+
Build system: r
Synopsis: Cosmological Distances, Times, Luminosities, Etc
Description:

Package encapsulates standard expressions for distances, times, luminosities, and other quantities useful in observational cosmology, including molecular line observations. Currently coded for a flat universe only.

r-cpe 1.6.3
Propagated dependencies: r-survival@3.8-3 r-rms@8.1-0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CPE
Licenses: GPL 2+
Build system: r
Synopsis: Concordance Probability Estimates in Survival Analysis
Description:

Concordance probability estimate (CPE) is a commonly used performance measure in survival analysis that evaluates the predictive accuracy of a survival model. It measures how well a model can distinguish between pairs of individuals with different survival times. Specifically, it calculate the proportion of all pairs of individuals whose predicted survival times are correctly ordered.

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