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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-comix 1.0.2
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-rlang@1.1.6 r-rcppnumerical@0.6-0 r-rcppeigen@0.3.4.0.2 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=COMIX
Licenses: CC0
Build system: r
Synopsis: Coarsened Mixtures of Hierarchical Skew Kernels
Description:

Bayesian fit of a Dirichlet Process Mixture with hierarchical multivariate skew normal kernels and coarsened posteriors. For more information, see Gorsky, Chan and Ma (2024) <doi:10.1214/22-BA1356>.

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
Build system: r
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-corrdna 1.0.1
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=corrDNA
Licenses: GPL 2+
Build system: r
Synopsis: Finding Associations in Position-Wise Aligned DNA Sequence Dataset
Description:

Can be useful for finding associations among different positions in a position-wise aligned sequence dataset. The approach adopted for finding associations among positions is based on the latent multivariate normal distribution.

r-condvis2 0.1.2
Propagated dependencies: r-shiny@1.11.1 r-scales@1.4.0 r-rcolorbrewer@1.1-3 r-plyr@1.8.9 r-gower@1.0.2 r-ggplot2@4.0.1 r-dendser@1.0.3 r-colorspace@2.1-2 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cbhurley.github.io/condvis2/
Licenses: GPL 2+
Build system: r
Synopsis: Interactive Conditional Visualization for Supervised and Unsupervised Models in Shiny
Description:

Constructs a shiny app function with interactive displays for conditional visualization of models, data and density functions. An extended version of package condvis'. Catherine B. Hurley, Mark O'Connell,Katarina Domijan (2021) <doi:10.1080/10618600.2021.1983439>.

r-crossrun 0.1.1
Propagated dependencies: r-rmpfr@1.1-2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/ToreWentzel-Larsen/crossrun
Licenses: GPL 3
Build system: r
Synopsis: Joint Distribution of Number of Crossings and Longest Run
Description:

Joint distribution of number of crossings and the longest run in a series of independent Bernoulli trials. The computations uses an iterative procedure where computations are based on results from shorter series. The procedure conditions on the start value and partitions by further conditioning on the position of the first crossing (or none).

r-chronicler 0.3.0
Propagated dependencies: r-tibble@3.3.0 r-rlang@1.1.6 r-maybe@1.1.0 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-diffobj@0.3.6
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=chronicler
Licenses: GPL 3+
Build system: r
Synopsis: Add Logging to Functions
Description:

Decorate functions to make them return enhanced output. The enhanced output consists in an object of type chronicle containing the result of the function applied to its arguments, as well as a log detailing when the function was run, what were its inputs, what were the errors (if the function failed to run) and other useful information. Tools to handle decorated functions are included, such as a forward pipe operator that makes chaining decorated functions possible.

r-condir 0.1.4
Propagated dependencies: r-xtable@1.8-4 r-shiny@1.11.1 r-psych@2.5.6 r-knitr@1.50 r-effsize@0.8.1 r-bayesfactor@0.9.12-4.7
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/AngelosPsy/condir
Licenses: GPL 3
Build system: r
Synopsis: Computation of P Values and Bayes Factors for Conditioning Data
Description:

Set of functions for the easy analyses of conditioning data.

r-circularddm 0.1.0
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://cran.r-project.org/package=CircularDDM
Licenses: GPL 2
Build system: r
Synopsis: Circular Drift-Diffusion Model
Description:

Circular drift-diffusion model for continuous reports.

r-clusterbootstrap 2.0.0
Propagated dependencies: r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/mathijsdeen/ClusterBootstrap
Licenses: GPL 3 FSDG-compatible
Build system: r
Synopsis: Analyze Clustered Data using the Cluster Bootstrap
Description:

This package provides functionality for the analysis of clustered data using the cluster bootstrap.

r-census2016 0.2.0
Propagated dependencies: 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=Census2016
Licenses: FSDG-compatible
Build system: r
Synopsis: Data from the Australian Census 2016
Description:

This package contains selected variables from the time series profiles for statistical areas level 2 from the 2006, 2011, and 2016 censuses of population and housing, Australia. Also provides methods for viewing the questions asked for convenience during analysis.

r-causaldt 1.0.0
Propagated dependencies: r-tidyselect@1.2.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rpart@4.1.24 r-rlang@1.1.6 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-r-utils@2.13.0 r-purrr@1.2.0 r-partykit@1.2-24 r-lifecycle@1.0.4 r-grf@2.6.1 r-ggplot2@4.0.1 r-ggparty@1.0.0.1 r-dplyr@1.1.4 r-bcf@2.0.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://tiffanymtang.github.io/causalDT/
Licenses: Expat
Build system: r
Synopsis: Causal Distillation Trees
Description:

Causal Distillation Tree (CDT) is a novel machine learning method for estimating interpretable subgroups with heterogeneous treatment effects. CDT allows researchers to fit any machine learning model (or metalearner) to estimate heterogeneous treatment effects for each individual, and then "distills" these predicted heterogeneous treatment effects into interpretable subgroups by fitting an ordinary decision tree to predict the previously-estimated heterogeneous treatment effects. This package provides tools to estimate causal distillation trees (CDT), as detailed in Huang, Tang, and Kenney (2025) <doi:10.48550/arXiv.2502.07275>.

r-coclust 1.0-0
Propagated dependencies: r-gtools@3.9.5 r-copula@1.1-7
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CoClust
Licenses: GPL 2+
Build system: r
Synopsis: Copula-Based Clustering Algorithm
Description:

This package provides a copula based clustering algorithm that finds clusters according to the complex multivariate dependence structure of the data generating process. The updated version of the algorithm is described in Di Lascio, F.M.L. and Giannerini, S. (2019). "Clustering dependent observations with copula functions". Statistical Papers, 60, p.35-51. <doi:10.1007/s00362-016-0822-3>.

r-currr 0.1.2
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-scales@1.4.0 r-rstudioapi@0.17.1 r-readr@2.1.6 r-purrr@1.2.0 r-pacman@0.5.1 r-job@0.3.1 r-dplyr@1.1.4 r-crayon@1.5.3 r-clisymbols@1.2.0 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/MarcellGranat/currr
Licenses: Expat
Build system: r
Synopsis: Apply Mapping Functions in Frequent Saving
Description:

Implementations of the family of map() functions with frequent saving of the intermediate results. The contained functions let you start the evaluation of the iterations where you stopped (reading the already evaluated ones from cache), and work with the currently evaluated iterations while remaining ones are running in a background job. Parallel computing is also easier with the workers parameter.

r-censoredaids 1.0.0
Propagated dependencies: r-mvtnorm@1.3-3 r-mnormt@2.1.1 r-matrixcalc@1.0-6 r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=censoredAIDS
Licenses: Expat
Build system: r
Synopsis: Estimation of Censored AI/QUAI Demand System via Maximum Likelihood Estimation (MLE)
Description:

This package provides tools for estimating censored Almost Ideal (AI) and Quadratic Almost Ideal (QUAI) demand systems using Maximum Likelihood Estimation (MLE). It includes functions for calculating demand share equations and the truncated log-likelihood function for a system of equations, incorporating demographic variables. The package is designed to handle censored data, where some observations may be zero due to non-purchase of certain goods. Package also contains a procedure to approximate demand elasticities numerically and estimate standard errors via Delta Method. It is particularly useful for applied researchers analyzing household consumption data.

r-comriskmodel 0.2.0
Propagated dependencies: r-adequacymodel@2.0.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=ComRiskModel
Licenses: GPL 2+
Build system: r
Synopsis: Fitting of Complementary Risk Models
Description:

Evaluates the probability density function (PDF), cumulative distribution function (CDF), quantile function (QF), random numbers and maximum likelihood estimates (MLEs) of well-known complementary binomial-G, complementary negative binomial-G and complementary geometric-G families of distributions taking baseline models such as exponential, extended exponential, Weibull, extended Weibull, Fisk, Lomax, Burr-XII and Burr-X. The functions also allow computing the goodness-of-fit measures namely the Akaike-information-criterion (AIC), the Bayesian-information-criterion (BIC), the minimum value of the negative log-likelihood (-2L) function, Anderson-Darling (A) test, Cramer-Von-Mises (W) test, Kolmogorov-Smirnov test, P-value and convergence status. Moreover, some commonly used data sets from the fields of actuarial, reliability, and medical science are also provided. Related works include: a) Tahir, M. H., & Cordeiro, G. M. (2016). Compounding of distributions: a survey and new generalized classes. Journal of Statistical Distributions and Applications, 3, 1-35. <doi:10.1186/s40488-016-0052-1>.

r-cchs 0.4.5
Propagated dependencies: r-survival@3.8-3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cchs
Licenses: GPL 3
Build system: r
Synopsis: Cox Model for Case-Cohort Data with Stratified Subcohort-Selection
Description:

This package contains a function, also called cchs', that calculates Estimator III of Borgan et al (2000), <DOI:10.1023/A:1009661900674>. This estimator is for fitting a Cox proportional hazards model to data from a case-cohort study where the subcohort was selected by stratified simple random sampling.

r-comparecausalnetworks 0.2.6.2
Propagated dependencies: r-matrix@1.7-4 r-expm@1.0-0 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/christinaheinze/CompareCausalNetworks
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Interface to Diverse Estimation Methods of Causal Networks
Description:

Unified interface for the estimation of causal networks, including the methods backShift (from package backShift'), bivariateANM (bivariate additive noise model), bivariateCAM (bivariate causal additive model), CAM (causal additive model) (from package CAM'; the package is temporarily unavailable on the CRAN repository; formerly available versions can be obtained from the archive), hiddenICP (invariant causal prediction with hidden variables), ICP (invariant causal prediction) (from package InvariantCausalPrediction'), GES (greedy equivalence search), GIES (greedy interventional equivalence search), LINGAM', PC (PC Algorithm), FCI (fast causal inference), RFCI (really fast causal inference) (all from package pcalg') and regression.

r-customerscoringmetrics 1.0.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CustomerScoringMetrics
Licenses: GPL 2+
Build system: r
Synopsis: Evaluation Metrics for Customer Scoring Models Depending on Binary Classifiers
Description:

This package provides functions for evaluating and visualizing predictive model performance (specifically: binary classifiers) in the field of customer scoring. These metrics include lift, lift index, gain percentage, top-decile lift, F1-score, expected misclassification cost and absolute misclassification cost. See Berry & Linoff (2004, ISBN:0-471-47064-3), Witten and Frank (2005, 0-12-088407-0) and Blattberg, Kim & Neslin (2008, ISBN:978â 0â 387â 72578â 9) for details. Visualization functions are included for lift charts and gain percentage charts. All metrics that require class predictions offer the possibility to dynamically determine cutoff values for transforming real-valued probability predictions into class predictions.

r-combineportfolio 0.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CombinePortfolio
Licenses: GPL 2+
Build system: r
Synopsis: Estimation of Optimal Portfolio Weights by Combining Simple Portfolio Strategies
Description:

Estimation of optimal portfolio weights as combination of simple portfolio strategies, like the tangency, global minimum variance (GMV) or naive (1/N) portfolio. It is based on a utility maximizing 8-fund rule. Popular special cases like the Kan-Zhou(2007) 2-fund and 3-fund rule or the Tu-Zhou(2011) estimator are nested.

r-certara-modelresults 3.0.1
Propagated dependencies: r-xpose@0.4.23 r-tidyr@1.3.1 r-sortable@0.6.0 r-shinywidgets@0.9.0 r-shinytree@0.3.1 r-shinymeta@0.2.1 r-shinyjs@2.1.0 r-shinyjqui@0.4.1 r-shinyace@0.4.4 r-shiny@1.11.1 r-scales@1.4.0 r-rlang@1.1.6 r-plotly@4.11.0 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-flextable@0.9.10 r-dplyr@1.1.4 r-colourpicker@1.3.0 r-certara-xpose-nlme@2.0.2 r-bslib@0.9.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://certara.github.io/R-model-results/
Licenses: LGPL 3
Build system: r
Synopsis: Generate Diagnostics for Pharmacometric Models Using 'shiny'
Description:

Utilize the shiny interface to generate Goodness of Fit (GOF) plots and tables for Non-Linear Mixed Effects (NLME / NONMEM) pharmacometric models. From the interface, users can customize model diagnostics and generate the underlying R code to reproduce the diagnostic plots and tables outside of the shiny session. Model diagnostics can be included in a rmarkdown document and rendered to desired output format.

r-cscnet 0.1.4
Propagated dependencies: r-tidyverse@2.0.0 r-tibble@3.3.0 r-survival@3.8-3 r-stringr@1.6.0 r-riskregression@2026.02.13 r-recipes@1.3.1 r-purrr@1.2.0 r-prodlim@2025.04.28 r-parallelly@1.45.1 r-magrittr@2.0.4 r-glmnet@4.1-10 r-future@1.68.0 r-furrr@0.3.1 r-dplyr@1.1.4 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://shahin-roshani.github.io/CSCNet/
Licenses: GPL 3+
Build system: r
Synopsis: Fitting and Tuning Regularized Cause-Specific Cox Models with Elastic-Net Penalty
Description:

Flexible tools to fit, tune and obtain absolute risk predictions from regularized cause-specific cox models with elastic-net penalty.

r-contoso 2.1.0
Propagated dependencies: r-purrr@1.2.0 r-duckdb@1.4.2 r-dplyr@1.1.4 r-dbi@1.2.3 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://codeberg.org/usrbinr/contoso
Licenses: Expat
Build system: r
Synopsis: Dataset of the 'Contoso' Company
Description:

This package provides a collection of synthetic datasets simulating sales transactions from a fictional company. The dataset includes various related tables that contain essential business and operational data, useful for analyzing sales performance and other business insights. Key tables included in the package are: - "sales": Contains data on individual sales transactions, including order details, pricing, quantities, and customer information. - "customer": Stores customer-specific details such as demographics, geographic location, occupation, and birthday. - "store": Provides information about stores, including location, size, status, and operational dates. - "orders": Contains details about customer orders, including order and delivery dates, store, and customer data. - "product": Contains data on products, including attributes such as product name, category, price, cost, and weight. - "calendar": A time-based table that includes date-related attributes like year, month, quarter, day, and working day indicators. This dataset is ideal for practicing data analysis, performing time-series analysis, creating reports, or simulating business intelligence scenarios.

r-colorblindcheck 1.0.4
Propagated dependencies: r-spacesxyz@1.6-0 r-colorspace@2.1-2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://jakubnowosad.com/colorblindcheck/
Licenses: Expat
Build system: r
Synopsis: Check Color Palettes for Problems with Color Vision Deficiency
Description:

Compare color palettes with simulations of color vision deficiencies - deuteranopia, protanopia, and tritanopia. It includes calculation of distances between colors, and creating summaries of differences between a color palette and simulations of color vision deficiencies. This work was inspired by the blog post at <https://www.datawrapper.de/blog/colorblind-check>.

r-code 1.1.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cOde
Licenses: GPL 2+
Build system: r
Synopsis: Automated C Code Generation for 'deSolve', 'bvpSolve'
Description:

Generates all necessary C functions allowing the user to work with the compiled-code interface of ode() and bvptwp(). The implementation supports "forcings" and "events". Also provides functions to symbolically compute Jacobians, sensitivity equations and adjoint sensitivities being the basis for sensitivity analysis.

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Total results: 69112