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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-common 1.1.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://common.r-sassy.org
Licenses: CC0
Build system: r
Synopsis: Solutions for Common Problems in Base R
Description:

This package contains functions for solving commonly encountered problems while programming in R. This package is intended to provide a lightweight supplement to Base R, and will be useful for almost any R user.

r-clustcr2 1.7.3.01
Propagated dependencies: r-vlf@1.1-3 r-stringr@1.6.0 r-sna@2.8 r-scales@1.4.0 r-rcolorbrewer@1.1-3 r-plyr@1.8.9 r-network@1.19.0 r-ggseqlogo@0.2 r-ggplot2@4.0.1 r-desctools@0.99.60
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=ClusTCR2
Licenses: GPL 3+
Build system: r
Synopsis: Identifying Similar T Cell Receptor Hyper-Variable Sequences with 'ClusTCR2'
Description:

Enhancing T cell receptor (TCR) sequence analysis, ClusTCR2', based on ClusTCR python program, leverages Hamming distance to compare the complement-determining region three (CDR3) sequences for sequence similarity, variable gene (V gene) and length. The second step employs the Markov Cluster Algorithm to identify clusters within an undirected graph, providing a summary of amino acid motifs and matrix for generating network plots. Tailored for single-cell RNA-seq data with integrated TCR-seq information, ClusTCR2 is integrated into the Single Cell TCR and Expression Grouped Ontologies (STEGO) R application or STEGO.R'. See the two publications for more details. Sebastiaan Valkiers, Max Van Houcke, Kris Laukens, Pieter Meysman (2021) <doi:10.1093/bioinformatics/btab446>, Kerry A. Mullan, My Ha, Sebastiaan Valkiers, Nicky de Vrij, Benson Ogunjimi, Kris Laukens, Pieter Meysman (2023) <doi:10.1101/2023.09.27.559702>.

r-crov 0.3.0
Propagated dependencies: r-vgam@1.1-13 r-gtools@3.9.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=crov
Licenses: GPL 2
Build system: r
Synopsis: Constrained Regression Model for an Ordinal Response and Ordinal Predictors
Description:

Fits a constrained regression model for an ordinal response with ordinal predictors and possibly others, Espinosa and Hennig (2019) <DOI:10.1007/s11222-018-9842-2>. The parameter estimates associated with an ordinal predictor are constrained to be monotonic. If a monotonicity direction (isotonic or antitonic) is not specified for an ordinal predictor by the user, then one of the available methods will either establish it or drop the monotonicity assumption. Two monotonicity tests are also available to test the null hypothesis of monotonicity over a set of parameters associated with an ordinal predictor.

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-cost 0.1.0
Propagated dependencies: r-mvtnorm@1.3-3 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=COST
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Copula-Based Semiparametric Models for Spatio-Temporal Data
Description:

Parameter estimation, one-step ahead forecast and new location prediction methods for spatio-temporal data.

r-castgen 1.0.2
Propagated dependencies: r-vcfr@1.15.0 r-rdpack@2.6.4 r-foreach@1.5.2 r-dplyr@1.1.4 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/alex-sandercock/castgen
Licenses: FSDG-compatible
Build system: r
Synopsis: Estimate Sample Size for Population Genomic Studies
Description:

Estimate sample sizes needed to capture target levels of genetic diversity from a population (multivariate allele frequencies) for applications like germplasm conservation and breeding efforts. Compares bootstrap samples to a full population using linear regression, employing the R-squared value to represent the proportion of diversity captured. Iteratively increases sample size until a user-defined target R-squared is met. Offers a parallelized R implementation of a previously developed python method. All ploidy levels are supported. For more details, see Sandercock et al. (2024) <doi:10.1073/pnas.2403505121>.

r-clustransition 1.0
Propagated dependencies: r-flexclust@1.5.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=clusTransition
Licenses: GPL 3
Build system: r
Synopsis: Monitor Changes in Cluster Solutions of Dynamic Datasets
Description:

Monitor and trace changes in clustering solutions of accumulating datasets at successive time points. The clusters can adopt External and Internal transition at succeeding time points. The External transitions comprise of Survived, Merged, Split, Disappeared, and newly Emerged candidates. In contrast, Internal transition includes changes in location and cohesion of the survived clusters. The package uses MONIC framework developed by Spiliopoulou, Ntoutsi, Theodoridis, and Schult (2006)<doi:10.1145/1150402.1150491> .

r-choroplethr 5.0.1
Propagated dependencies: r-tigris@2.2.1 r-tidycensus@1.7.5 r-stringr@1.6.0 r-sf@1.0-23 r-r6@2.6.1 r-hmisc@5.2-4 r-ggrepel@0.9.6 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/eastnile/choroplethr>
Licenses: Modified BSD
Build system: r
Synopsis: Create Color-Coded Choropleth Maps in R
Description:

Easily create color-coded (choropleth) maps in R. No knowledge of cartography or shapefiles needed; go directly from your geographically identified data to a highly customizable map with a single line of code! Supported geographies: U.S. states, counties, census tracts, and zip codes, world countries and sub-country regions (e.g., provinces, prefectures, etc.).

r-circacompare 0.2.0
Propagated dependencies: r-withr@3.0.2 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://rwparsons.github.io/circacompare/
Licenses: Expat
Build system: r
Synopsis: Analyses of Circadian Data
Description:

Uses non-linear regression to statistically compare two circadian rhythms. Groups are only compared if both are rhythmic (amplitude is non-zero). Performs analyses regarding mesor, phase, and amplitude, reporting on estimates and statistical differences, for each, between groups. Details can be found in Parsons et al (2020) <doi:10.1093/bioinformatics/btz730>.

r-caretforecast 0.1.3
Propagated dependencies: r-magrittr@2.0.4 r-generics@0.1.4 r-forecast@8.24.0 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://taf-society.github.io/caretForecast/
Licenses: GPL 3+
Build system: r
Synopsis: Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms
Description:

Conformal time series forecasting using the caret infrastructure. It provides access to state-of-the-art machine learning models for forecasting applications. The hyperparameter of each model is selected based on time series cross-validation, and forecasting is done recursively.

r-catalytic 0.1.0
Propagated dependencies: r-truncnorm@1.0-9 r-survival@3.8-3 r-rstan@2.32.7 r-rlang@1.1.6 r-quadform@0.0-4 r-mass@7.3-65 r-lme4@1.1-37 r-invgamma@1.2 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=catalytic
Licenses: Expat
Build system: r
Synopsis: Tools for Applying Catalytic Priors in Statistical Modeling
Description:

To improve estimation accuracy and stability in statistical modeling, catalytic prior distributions are employed, integrating observed data with synthetic data generated from a simpler model's predictive distribution. This approach enhances model robustness, stability, and flexibility in complex data scenarios. The catalytic prior distributions are introduced by Huang et al. (2020, <doi:10.1073/pnas.1920913117>), Li and Huang (2023, <doi:10.48550/arXiv.2312.01411>).

r-contourforest 0.2.0
Propagated dependencies: r-stringr@1.6.0 r-metafor@4.8-0 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://cran.r-project.org/package=contourforest
Licenses: Expat
Build system: r
Synopsis: Contour-Enhanced Forest Plots for Meta-Analysis
Description:

This package provides functions to create contour-enhanced forest plots for meta-analysis, supporting binary outcomes (e.g., odds ratios, risk ratios), continuous outcomes (e.g., correlations), and prevalence estimates. Includes options for prediction intervals, customized colors, study labeling, and contour shading to highlight regions of statistical significance. Based on metafor and ggplot2'.

r-cure 1.1.1
Propagated dependencies: r-survival@3.8-3 r-statmod@1.5.1 r-rstpm2@1.7.1 r-reshape2@1.4.5 r-relsurv@2.3-3 r-numderiv@2016.8-1.1 r-date@1.2-43
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/LasseHjort/cuRe
Licenses: GPL 2+
Build system: r
Synopsis: Parametric Cure Model Estimation
Description:

This package contains functions for estimating generalized parametric mixture and non-mixture cure models <doi:10.1016/j.cmpb.2022.107125>, loss of lifetime, mean residual lifetime, and crude event probabilities.

r-cmls 1.1
Propagated dependencies: r-quadprog@1.5-8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CMLS
Licenses: GPL 2+
Build system: r
Synopsis: Constrained Multivariate Least Squares
Description:

Solves multivariate least squares (MLS) problems subject to constraints on the coefficients, e.g., non-negativity, orthogonality, equality, inequality, monotonicity, unimodality, smoothness, etc. Includes flexible functions for solving MLS problems subject to user-specified equality and/or inequality constraints, as well as a wrapper function that implements 24 common constraint options. Also does k-fold or generalized cross-validation to tune constraint options for MLS problems. See ten Berge (1993, ISBN:9789066950832) for an overview of MLS problems, and see Goldfarb and Idnani (1983) <doi:10.1007/BF02591962> for a discussion of the underlying quadratic programming algorithm.

r-cansim 0.4.4
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rsqlite@2.4.4 r-rlang@1.1.6 r-readr@2.1.6 r-purrr@1.2.0 r-httr@1.4.7 r-dplyr@1.1.4 r-digest@0.6.39 r-dbplyr@2.5.1 r-dbi@1.2.3 r-arrow@22.0.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/mountainMath/cansim
Licenses: Expat
Build system: r
Synopsis: Accessing Statistics Canada Data Table and Vectors
Description:

Searches for, accesses, and retrieves Statistics Canada data tables, as well as individual vectors, as tidy data frames. This package enriches the tables with metadata, deals with encoding issues, allows for bilingual English or French language data retrieval, and bundles convenience functions to make it easier to work with retrieved table data. For more efficient data access the package allows for caching data in a local database and database level filtering, data manipulation and summarizing.

r-clickclustcont 0.1.7
Propagated dependencies: r-gtools@3.9.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=ClickClustCont
Licenses: GPL 2+
Build system: r
Synopsis: Mixtures of Continuous Time Markov Models
Description:

This package provides an expectation maximization (EM) algorithm to fit a mixture of continuous time Markov models for use with clickstream or other sequence type data. Gallaugher, M.P.B and McNicholas, P.D. (2018) <arXiv:1802.04849>.

r-comclim 0.9.6
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=comclim
Licenses: GPL 3
Build system: r
Synopsis: Community Climate Statistics
Description:

Computes community climate statistics for volume and mismatch using species climate niches either unscaled or scaled relative to a regional species pool. These statistics can be used to describe biogeographic patterns and infer community assembly processes. Includes a vignette outlining usage.

r-care4cmodel 1.0.3
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-rdpack@2.6.4 r-purrr@1.2.0 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-desolve@1.40
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=care4cmodel
Licenses: GPL 3+
Build system: r
Synopsis: Carbon-Related Assessment of Silvicultural Concepts
Description:

This package provides a simulation model and accompanying functions that support assessing silvicultural concepts on the forest estate level with a focus on the CO2 uptake by wood growth and CO2 emissions by forest operations. For achieving this, a virtual forest estate area is split into the areas covered by typical phases of the silvicultural concept of interest. Given initial area shares of these phases, the dynamics of these areas is simulated. The typical carbon stocks and flows which are known for all phases are attributed post-hoc to the areas and upscaled to the estate level. CO2 emissions by forest operations are estimated based on the amounts and dimensions of the harvested timber. Probabilities of damage events are taken into account.

r-cat2cat 0.4.7
Propagated dependencies: r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/Polkas/cat2cat
Licenses: GPL 2+ FSDG-compatible
Build system: r
Synopsis: Handling an Inconsistently Coded Categorical Variable in a Longitudinal Dataset
Description:

Unifying an inconsistently coded categorical variable between two different time points in accordance with a mapping table. The main rule is to replicate the observation if it could be assigned to a few categories. Then using frequencies or statistical methods to approximate the probabilities of being assigned to each of them. This procedure was invented and implemented in the paper by Nasinski, Majchrowska, and Broniatowska (2020) <doi:10.24425/cejeme.2020.134747>.

r-curricularcomplexity 1.0.1
Propagated dependencies: r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CurricularComplexity
Licenses: Expat
Build system: r
Synopsis: Toolkit for Analyzing Curricular Complexity
Description:

Enables educational researchers and practitioners to calculate the curricular complexity of a plan of study, visualize its prerequisite structure at scale, and conduct customizable analyses. The original tool can be found at <https://curricularanalytics.org>. Additional functions to explore curriculum complexity from the literature are also included.

r-copulareg 0.1.0
Propagated dependencies: r-rvinecopulib@0.7.3.1.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=copulareg
Licenses: FSDG-compatible
Build system: r
Synopsis: Copula Regression
Description:

Fits multivariate models in an R-vine pair copula construction framework, in such a way that the conditional copula can be easily evaluated. In addition, the package implements functionality to compute or approximate the conditional expectation via the conditional copula.

r-copcts 1.0.0
Propagated dependencies: r-msm@1.8.2 r-copula@1.1-7 r-copbasic@2.2.11
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CopCTS
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Copula-Based Semiparametric Analysis for Time Series Data with Detection Limits
Description:

Semiparametric estimation for censored time series with lower detection limit. The latent response is a sequence of stationary process with Markov property of order one. Estimation of copula parameter(COPC) and Conditional quantile estimation are included for five available copula functions. Copula selection methods based on L2 distance from empirical copula function are also included.

r-catlearn 1.1
Propagated dependencies: r-tidyr@1.3.1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-foreach@1.5.2 r-dplyr@1.1.4 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/ajwills72/catlearn
Licenses: GPL 2+
Build system: r
Synopsis: Formal Psychological Models of Categorization and Learning
Description:

Formal psychological models of categorization and learning, independently-replicated data sets against which to test them, and simulation archives.

r-cond 1.2-4
Propagated dependencies: r-survival@3.8-3 r-statmod@1.5.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://www.r-project.org
Licenses: GPL 2+ FSDG-compatible
Build system: r
Synopsis: Approximate Conditional Inference for Logistic and Loglinear Models
Description:

This package implements higher order likelihood-based inference for logistic and loglinear models.

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Total results: 69112