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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-crosscarry 1.2.0
Propagated dependencies: r-mass@7.3-65 r-ggplot2@4.0.1 r-gee@4.13-29 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=CrossCarry
Licenses: GPL 3+
Build system: r
Synopsis: Analysis of Data from a Crossover Design with GEE
Description:

Analyze data from a crossover design using generalized estimation equations (GEE), including carryover effects and various correlation structures based on the Kronecker product. It contains functions for semiparametric estimates of carry-over effects in repeated measures and allows estimation of complex carry-over effects. Related work includes: a) Cruz N.A., Melo O.O., Martinez C.A. (2023). "CrossCarry: An R package for the analysis of data from a crossover design with GEE". <doi:10.48550/arXiv.2304.02440>. b) Cruz N.A., Melo O.O., Martinez C.A. (2023). "A correlation structure for the analysis of Gaussian and non-Gaussian responses in crossover experimental designs with repeated measures". <doi:10.1007/s00362-022-01391-z> and c) Cruz N.A., Melo O.O., Martinez C.A. (2023). "Semiparametric generalized estimating equations for repeated measurements in cross-over designs". <doi:10.1177/09622802231158736>.

r-clustering 1.7.10
Propagated dependencies: r-xtable@1.8-4 r-toordinal@1.4-0.0 r-sqldf@0.4-11 r-shiny@1.11.1 r-pvclust@2.2-0 r-pracma@2.4.6 r-gmp@0.7-5 r-ggplot2@4.0.1 r-future@1.68.0 r-foreach@1.5.2 r-dplyr@1.1.4 r-data-table@1.17.8 r-clusterr@1.3.5 r-cluster@2.1.8.1 r-apcluster@1.4.14 r-amap@0.8-20
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/laperez/clustering
Licenses: GPL 2+
Build system: r
Synopsis: Techniques for Evaluating Clustering
Description:

The design of this package allows us to run different clustering packages and compare the results between them, to determine which algorithm behaves best from the data provided. See Martos, L.A.P., Garcà a-Vico, à .M., González, P. et al.(2023) <doi:10.1007/s13748-022-00294-2> "Clustering: an R library to facilitate the analysis and comparison of cluster algorithms.", Martos, L.A.P., Garcà a-Vico, à .M., González, P. et al. "A Multiclustering Evolutionary Hyperrectangle-Based Algorithm" <doi:10.1007/s44196-023-00341-3> and L.A.P., Garcà a-Vico, à .M., González, P. et al. "An Evolutionary Fuzzy System for Multiclustering in Data Streaming" <doi:10.1016/j.procs.2023.12.058>.

r-circhelp 1.1
Propagated dependencies: r-patchwork@1.3.2 r-mathjaxr@1.8-0 r-mass@7.3-65 r-ggplot2@4.0.1 r-gamlss@5.5-0 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://achetverikov.github.io/circhelp/index.html
Licenses: CC0
Build system: r
Synopsis: Circular Analyses Helper Functions
Description:

Light-weight functions for computing descriptive statistics in different circular spaces (e.g., 2pi, 180, or 360 degrees), to handle angle-dependent biases, pad circular data, and more. Specifically aimed for psychologists and neuroscientists analyzing circular data. Basic methods are based on Jammalamadaka and SenGupta (2001) <doi:10.1142/4031>, removal of cardinal biases is based on the approach introduced in van Bergen, Ma, Pratte, & Jehee (2015) <doi:10.1038/nn.4150> and Chetverikov and Jehee (2023) <doi:10.1038/s41467-023-43251-w>.

r-clustofvar 1.2
Propagated dependencies: r-pcamixdata@3.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=ClustOfVar
Licenses: GPL 2+
Build system: r
Synopsis: Clustering of Variables
Description:

Cluster analysis of a set of variables. Variables can be quantitative, qualitative or a mixture of both.

r-crtconjoint 0.1.0
Propagated dependencies: r-snow@0.4-4 r-rcpp@1.1.0 r-foreach@1.5.2 r-dosnow@1.0.20
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/daewoongham97/CRTConjoint
Licenses: GPL 3+
Build system: r
Synopsis: Conditional Randomization Testing (CRT) Approach for Conjoint Analysis
Description:

Computes p-value according to the CRT using the HierNet test statistic. For more details, see Ham, Imai, Janson (2022) "Using Machine Learning to Test Causal Hypotheses in Conjoint Analysis" <arXiv:2201.08343>.

r-cptnonpar 0.3.2
Propagated dependencies: r-rfast@2.1.5.2 r-rcpp@1.1.0 r-parallelly@1.45.1 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://github.com/EuanMcGonigle/CptNonPar
Licenses: GPL 3+
Build system: r
Synopsis: Nonparametric Change Point Detection for Multivariate Time Series
Description:

This package implements the nonparametric moving sum procedure for detecting changes in the joint characteristic function (NP-MOJO) for multiple change point detection in multivariate time series. See McGonigle, E. T., Cho, H. (2025) <doi:10.1093/biomet/asaf024> for description of the NP-MOJO methodology.

r-comstab 0.0.3
Propagated dependencies: r-ternary@2.3.6
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/jsegrestin/comstab
Licenses: GPL 3
Build system: r
Synopsis: Partitioning the Drivers of Stability of Ecological Communities
Description:

This package contains the basic functions to apply the unified framework for partitioning the drivers of stability of ecological communities. Segrestin et al. (2024) <doi:10.1111/geb.13828>.

r-creds 0.1.0
Propagated dependencies: 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=CREDS
Licenses: GPL 3
Build system: r
Synopsis: Calibrated Ratio Estimator under Double Sampling Design
Description:

Population ratio estimator (calibrated) under two-phase random sampling design has gained enormous popularity in the recent time. This package provides functions for estimation population ratio (calibrated) under two phase sampling design, including the approximate variance of the ratio estimator. The improved ratio estimator can be applicable for both the case, when auxiliary data is available at unit level or aggregate level (eg., mean or total) for first phase sampled. Calibration weight of each unit of the second phase sample was calculated. Single and combined inclusion probabilities were also estimated for both phases under two phase random [simple random sampling without replacement (SRSWOR)] sampling. The improved ratio estimator's percentage coefficient of variation was also determined as a measure of accuracy. This package has been developed based on the theoretical development of Islam et al. (2021) and Ozgul (2020) <doi:10.1080/00949655.2020.1844702>.

r-ckmeans-1d-dp 4.3.5
Propagated dependencies: r-rdpack@2.6.4 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=Ckmeans.1d.dp
Licenses: LGPL 3+
Build system: r
Synopsis: Optimal, Fast, and Reproducible Univariate Clustering
Description:

Fast, optimal, and reproducible weighted univariate clustering by dynamic programming. Four problems are solved, including univariate k-means (Wang & Song 2011) <doi:10.32614/RJ-2011-015> (Song & Zhong 2020) <doi:10.1093/bioinformatics/btaa613>, k-median, k-segments, and multi-channel weighted k-means. Dynamic programming is used to minimize the sum of (weighted) within-cluster distances using respective metrics. Its advantage over heuristic clustering in efficiency and accuracy is pronounced when there are many clusters. Multi-channel weighted k-means groups multiple univariate signals into k clusters. An auxiliary function generates histograms adaptive to patterns in data. This package provides a powerful set of tools for univariate data analysis with guaranteed optimality, efficiency, and reproducibility, useful for peak calling on temporal, spatial, and spectral data.

r-cmaes 1.0-12
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cmaes
Licenses: GPL 2
Build system: r
Synopsis: Covariance Matrix Adapting Evolutionary Strategy
Description:

Single objective optimization using a CMA-ES.

r-cequre 1.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cequre
Licenses: GPL 2+
Build system: r
Synopsis: Censored Quantile Regression & Monotonicity-Respecting Restoring
Description:

Perform censored quantile regression of Huang (2010) <doi:10.1214/09-AOS771>, and restore monotonicity respecting via adaptive interpolation for dynamic regression of Huang (2017) <doi:10.1080/01621459.2016.1149070>. The monotonicity-respecting restoration applies to general dynamic regression models including (uncensored or censored) quantile regression model, additive hazards model, and dynamic survival models of Peng and Huang (2007) <doi:10.1093/biomet/asm058>, among others.

r-corels 0.0.5
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/corels/rcppcorels
Licenses: GPL 2+
Build system: r
Synopsis: R Binding for the 'Certifiably Optimal RulE ListS (Corels)' Learner
Description:

The Certifiably Optimal RulE ListS (Corels) learner by Angelino et al described in <doi:10.48550/arXiv.1704.01701> provides interpretable decision rules with an optimality guarantee, and is made available to R with this package. See the file AUTHORS for a list of copyright holders and contributors.

r-concur 1.5
Propagated dependencies: r-mgcv@1.9-4 r-dplyr@1.1.4 r-compquadform@1.4.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CONCUR
Licenses: GPL 2
Build system: r
Synopsis: Copy Number Profile Curve-Based Association Test
Description:

This package implements a kernel-based association test for copy number variation (CNV) aggregate analysis in a certain genomic region (e.g., gene set, chromosome, or genome) that is robust to the within-locus and across-locus etiological heterogeneity, and bypass the need to define a "locus" unit for CNVs. Brucker, A., et al. (2020) <doi:10.1101/666875>.

r-captain 1.2.0
Propagated dependencies: r-yaml@2.3.10 r-fs@1.6.6 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/alexym1/captain
Licenses: Expat
Build system: r
Synopsis: Running 'git' Pre-Commit Hooks
Description:

Git hook scripts are useful for identifying simple issues before submission to code review. captain (hook) is an R package to manage and run git pre-commit hooks.

r-christmas 1.4.1
Propagated dependencies: r-animation@2.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://sites.google.com/view/josebarrera/
Licenses: GPL 3+
Build system: r
Synopsis: Generation of Different Animated Christmas Cards
Description:

Generation of different Christmas cards, most of them being animated. Most of the cards can be generated in three languages (English, Catalan and Spanish). The collection started in 2009.

r-collateral 0.5.2
Propagated dependencies: r-purrr@1.2.0 r-pillar@1.11.1 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://collateral.jamesgoldie.dev
Licenses: Expat
Build system: r
Synopsis: Quickly Evaluate Captured Side Effects
Description:

Map functions while capturing results, errors, warnings, messages and other output tidily, then filter and summarise data frames or lists on the basis of those side effects.

r-cropbreeding 0.1.0
Propagated dependencies: r-rlang@1.1.6 r-metan@1.19.0 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=CropBreeding
Licenses: Expat
Build system: r
Synopsis: Stability Analysis in Crop Breeding
Description:

This package provides tools for crop breeding analysis including Genetic Coefficient of Variation (GCV), Phenotypic Coefficient of Variation (PCV), heritability, genetic advance calculations, stability analysis using the Eberhart-Russell model, two-way ANOVA for genotype-environment interactions, and Additive Main Effects and Multiplicative Interaction (AMMI) analysis. These tools are developed for crop breeding research and stability evaluation under various environmental conditions. The methods are based on established statistical and biometrical principles. Refer to Eberhart and Russell (1966) <doi:10.2135/cropsci1966.0011183X000600010011x> for stability parameters, Fisher (1935) "The Design of Experiments" <ISBN:9780198522294>, Falconer (1996) "Introduction to Quantitative Genetics" <ISBN:9780582243026>, and Singh and Chaudhary (1985) "Biometrical Methods in Quantitative Genetic Analysis" <ISBN:9788122433764> for foundational methodologies.

r-caugi 1.0.0
Dependencies: xz@5.4.5
Propagated dependencies: r-s7@0.2.1 r-fastmap@1.2.0 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://caugi.org/
Licenses: Expat
Build system: r
Synopsis: Causal Graph Interface
Description:

Create, query, and modify causal graphs. caugi (Causal Graph Interface) is a causality-first, high performance graph package that provides a simple interface to build, structure, and examine causal relationships.

r-cre-dcf 0.0.3
Propagated dependencies: r-yaml@2.3.10 r-tibble@3.3.0 r-purrr@1.2.0 r-magrittr@2.0.4 r-dplyr@1.1.4 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=cre.dcf
Licenses: Expat
Build system: r
Synopsis: Discounted Cash Flow Tools for Commercial Real Estate
Description:

This package provides R utilities to build unlevered and levered discounted cash flow (DCF) tables for commercial real estate (CRE) assets. Functions generate bullet and amortising debt schedules, compute credit metrics such as debt coverage ratios (DCR), debt service coverage ratios (DSCR), interest coverage ratios, debt yield ratios, and forward loan-to-value ratios (LTV) based on net operating income (NOI). The toolkit evaluates refinancing feasibility under alternative market scenarios and supports end-to-end scenario execution from a YAML (YAML Ain't Markup Language) configuration file parsed with yaml'. Includes helpers for sensitivity analysis, covenant diagnostics, and reproducible vignettes.

r-caffsim 0.2.2
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-shiny@1.11.1 r-mgcv@1.9-4 r-markdown@2.0 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://github.com/asancpt/caffsim
Licenses: GPL 3 FSDG-compatible
Build system: r
Synopsis: Simulation of Plasma Caffeine Concentrations by Using Population Pharmacokinetic Model
Description:

Simulate plasma caffeine concentrations using population pharmacokinetic model described in Lee, Kim, Perera, McLachlan and Bae (2015) <doi:10.1007/s00431-015-2581-x>.

r-ccp 1.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CCP
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Significance Tests for Canonical Correlation Analysis (CCA)
Description:

Significance tests are provided for canonical correlation analysis, including asymptotic tests and a Monte Carlo method.

r-clustimpute 0.2.4
Propagated dependencies: r-tidyr@1.3.1 r-rlang@1.1.6 r-magrittr@2.0.4 r-knitr@1.50 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-copula@1.1-7 r-clusterr@1.3.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=ClustImpute
Licenses: GPL 3
Build system: r
Synopsis: K-Means Clustering with Build-in Missing Data Imputation
Description:

This k-means algorithm is able to cluster data with missing values and as a by-product completes the data set. The implementation can deal with missing values in multiple variables and is computationally efficient since it iteratively uses the current cluster assignment to define a plausible distribution for missing value imputation. Weights are used to shrink early random draws for missing values (i.e., draws based on the cluster assignments after few iterations) towards the global mean of each feature. This shrinkage slowly fades out after a fixed number of iterations to reflect the increasing credibility of cluster assignments. See the vignette for details.

r-cropgrowdays 0.2.2
Propagated dependencies: r-tibble@3.3.0 r-purrrlyr@0.0.10 r-purrr@1.2.0 r-lubridate@1.9.4 r-httr@1.4.7 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://gitlab.com/petebaker/cropgrowdays/
Licenses: Expat
Build system: r
Synopsis: Crop Growing Degree Days and Agrometeorological Calculations
Description:

Calculate agrometeorological variables for crops including growing degree days (McMaster, GS & Wilhelm, WW (1997) <doi:10.1016/S0168-1923(97)00027-0>), cumulative rainfall, number of stress days and cumulative or mean radiation and evaporation. Convert dates to day of year and vice versa. Also, download curated and interpolated Australian weather data from the Queensland Government DES longpaddock website <https://www.longpaddock.qld.gov.au/>. This data is freely available under the Creative Commons 4.0 licence.

r-calendar 0.2.0
Propagated dependencies: r-tibble@3.3.0 r-lubridate@1.9.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/atfutures/calendar
Licenses: ASL 2.0
Build system: r
Synopsis: Create, Read, Write, and Work with 'iCalendar' Files, Calendars and Scheduling Data
Description:

This package provides function to create, read, write, and work with iCalendar files (which typically have .ics or .ical extensions), and the scheduling data, calendars and timelines of people, organisations and other entities that they represent. iCalendar is an open standard for exchanging calendar and scheduling information between users and computers, described at <https://icalendar.org/>.

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