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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-crisprdesignr 1.1.7
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: <https://github.com/dylanbeeber/crispRdesignR>
Licenses: GPL 3
Build system: r
Synopsis: Guide Sequence Design for CRISPR/Cas9
Description:

Designs guide sequences for CRISPR/Cas9 genome editing and provides information on sequence features pertinent to guide efficiency. Sequence features include annotated off-target predictions in a user-selected genome and a predicted efficiency score based on the model described in Doench et al. (2016) <doi:10.1038/nbt.3437>. Users are able to import additional genomes and genome annotation files to use when searching and annotating off-target hits. All guide sequences and off-target data can be generated through the R console with sgRNA_Design() or through crispRdesignR's user interface with crispRdesignRUI(). CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) and the associated protein Cas9 refer to a technique used in genome editing.

r-countfitter 1.5
Propagated dependencies: r-shiny@1.11.1 r-pscl@1.5.9 r-mass@7.3-65 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/BioGenies/countfitteR
Licenses: GPL 3
Build system: r
Synopsis: Comprehensive Automatized Evaluation of Distribution Models for Count Data
Description:

This package provides a large number of measurements generate count data. This is a statistical data type that only assumes non-negative integer values and is generated by counting. Typically, counting data can be found in biomedical applications, such as the analysis of DNA double-strand breaks. The number of DNA double-strand breaks can be counted in individual cells using various bioanalytical methods. For diagnostic applications, it is relevant to record the distribution of the number data in order to determine their biomedical significance (Roediger, S. et al., 2018. Journal of Laboratory and Precision Medicine. <doi:10.21037/jlpm.2018.04.10>). The software offers functions for a comprehensive automated evaluation of distribution models of count data. In addition to programmatic interaction, a graphical user interface (web server) is included, which enables fast and interactive data-scientific analyses. The user is supported in selecting the most suitable counting distribution for his own data set.

r-cocons 0.1.5
Propagated dependencies: r-spam@2.11-1 r-rcpp@1.1.0 r-optimparallel@1.0-2 r-knitr@1.50 r-fields@17.1 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cocons
Licenses: GPL 3+
Build system: r
Synopsis: Covariate-Based Covariance Functions for Nonstationary Spatial Modeling
Description:

Estimation, prediction, and simulation of nonstationary Gaussian process with modular covariate-based covariance functions. Sources of nonstationarity, such as spatial mean, variance, geometric anisotropy, smoothness, and nugget, can be considered based on spatial characteristics. An induced compact-supported nonstationary covariance function is provided, enabling fast and memory-efficient computations when handling densely sampled domains.

r-cpncoverageanalysis 1.1.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CPNCoverageAnalysis
Licenses: GPL 3+
Build system: r
Synopsis: Conceptual Properties Norming Studies as Parameter Estimation
Description:

Implementation of conceptual properties norming studies, including estimates of CPNs parameters with their corresponding variances and estimates for the sampling process, and a sampling property function based on a modified empirical distribution from the original data.

r-cchsflow 2.1.0
Propagated dependencies: r-stringr@1.6.0 r-sjlabelled@1.2.0 r-magrittr@2.0.4 r-haven@2.5.5 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/Big-Life-Lab/cchsflow
Licenses: Expat
Build system: r
Synopsis: Transforming and Harmonizing CCHS Variables
Description:

Supporting the use of the Canadian Community Health Survey (CCHS) by transforming variables from each cycle into harmonized, consistent versions that span survey cycles (currently, 2001 to 2018). CCHS data used in this library is accessed and adapted in accordance to the Statistics Canada Open Licence Agreement. This package uses rec_with_table(), which was developed from sjmisc rec(). Lüdecke D (2018). "sjmisc: Data and Variable Transformation Functions". Journal of Open Source Software, 3(26), 754. <doi:10.21105/joss.00754>.

r-covglasso 1.0.3
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=covglasso
Licenses: GPL 3
Build system: r
Synopsis: Sparse Covariance Matrix Estimation
Description:

Direct sparse covariance matrix estimation via the covariance graphical lasso by Bien, Tibshirani (2011) <doi:10.1093/biomet/asr054> using the fast coordinate descent algorithm of Wang (2014) <doi:10.1007/s11222-013-9385-5>.

r-capybara 1.8.0
Propagated dependencies: r-mass@7.3-65 r-kendallknight@1.0.1 r-ggplot2@4.0.1 r-generics@0.1.4 r-formula@1.2-5 r-data-table@1.17.8 r-cpp11armadillo@0.5.4 r-cpp11@0.5.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://pacha.dev/capybara/
Licenses: FSDG-compatible
Build system: r
Synopsis: Fast and Memory Efficient Fitting of Linear Models with High-Dimensional Fixed Effects
Description:

Fast and user-friendly estimation of generalized linear models with multiple fixed effects and cluster the standard errors. The method to obtain the estimated fixed-effects coefficients is based on Stammann (2018) <doi:10.48550/arXiv.1707.01815>, Gaure (2013) <doi:10.1016/j.csda.2013.03.024>, Berge (2018) <https://ideas.repec.org/p/luc/wpaper/18-13.html>, and Correia et al. (2020) <doi: 10.1177/1536867X20909691>.

r-cassowaryr 2.0.2
Propagated dependencies: r-tidyselect@1.2.1 r-tibble@3.3.0 r-splancs@2.01-45 r-progress@1.2.3 r-magrittr@2.0.4 r-interp@1.1-6 r-igraph@2.2.1 r-ggplot2@4.0.1 r-energy@1.7-12 r-dplyr@1.1.4 r-alphahull@2.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/numbats/cassowaryr
Licenses: GPL 3
Build system: r
Synopsis: Compute Scagnostics on Pairs of Numeric Variables in a Data Set
Description:

Computes a range of scatterplot diagnostics (scagnostics) on pairs of numerical variables in a data set. A range of scagnostics, including graph and association-based scagnostics described by Leland Wilkinson and Graham Wills (2008) <doi:10.1198/106186008X320465> and association-based scagnostics described by Katrin Grimm (2016,ISBN:978-3-8439-3092-5) can be computed. Summary and plotting functions are provided.

r-centiserve 1.0.0
Propagated dependencies: r-matrix@1.7-4 r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: http://www.centiserver.org/
Licenses: GPL 2+
Build system: r
Synopsis: Find Graph Centrality Indices
Description:

Calculates centrality indices additional to the igraph package centrality functions.

r-cpa 1.0.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cpa
Licenses: GPL 2+
Build system: r
Synopsis: Confirmatory Path Analysis Through 'd-sep' Tests
Description:

This package provides functions to test and compare causal models using Confirmatory Path Analysis.

r-csutil 2023.4.25
Propagated dependencies: r-magrittr@2.0.4 r-ggplot2@4.0.1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://www.csids.no/csutil/
Licenses: Expat
Build system: r
Synopsis: Common Base-R Problems Relating to Lists
Description:

Utility functions that help with common base-R problems relating to lists. Lists in base-R are very flexible. This package provides functions to quickly and easily characterize types of lists. That is, to identify if all elements in a list are null, data.frames, lists, or fully named lists. Other functionality is provided for the handling of lists, such as the easy splitting of lists into equally sized groups, and the unnesting of data.frames within fully named lists.

r-compindexr 0.1.3
Propagated dependencies: r-pracma@2.4.6 r-nlcoptim@0.6 r-dplyr@1.1.4 r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/olgnaydn/compindexR
Licenses: GPL 3+
Build system: r
Synopsis: Calculates Composite Index
Description:

It uses the first-order sensitivity index to measure whether the weights assigned by the creator of the composite indicator match the actual importance of the variables. Moreover, the variance inflation factor is used to reduce the set of correlated variables. In the case of a discrepancy between the importance and the assigned weight, the script determines weights that allow adjustment of the weights to the intended impact of variables. If the optimised weights are unable to reflect the desired importance, the highly correlated variables are reduced, taking into account variance inflation factor. The final outcome of the script is the calculated value of the composite indicator based on optimal weights and a reduced set of variables, and the linear ordering of the analysed objects.

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-coortweet 2.1.2
Propagated dependencies: r-tidytable@0.11.2 r-stringi@1.8.7 r-rcppsimdjson@0.1.15 r-lubridate@1.9.4 r-igraph@2.2.1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/nicolarighetti/CooRTweet
Licenses: Expat
Build system: r
Synopsis: Coordinated Networks Detection on Social Media
Description:

Detects a variety of coordinated actions on social media and outputs the network of coordinated users along with related information.

r-cmahalanobis 1.0.0
Propagated dependencies: r-reshape2@1.4.5 r-matrixstats@1.5.0 r-gridextra@2.3 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=cmahalanobis
Licenses: GPL 3
Build system: r
Synopsis: Calculate Distance Measures for DataFrames
Description:

It provides functions that calculate Mahalanobis distance, Euclidean distance, Manhattan distance, Chebyshev distance, Hamming distance, Canberra distance, Minkowski dissimilarity (distance defined for p >= 1), Cosine dissimilarity, Bhattacharyya dissimilarity, Jaccard distance, Hellinger distance, Bray-Curtis dissimilarity, Sorensen-Dice dissimilarity between each pair of species in a list of data frames. These statistics are fundamental in various fields, such as cluster analysis, classification, and other applications of machine learning and data mining, where assessing similarity or dissimilarity between data is crucial. The package is designed to be flexible and easily integrated into data analysis workflows, providing reliable tools for evaluating distances in multidimensional contexts.

r-cleaner 1.5.5
Propagated dependencies: r-vctrs@0.6.5 r-rlang@1.1.6 r-pillar@1.11.1 r-knitr@1.50 r-crayon@1.5.3 r-backports@1.5.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://msberends.github.io/cleaner/
Licenses: GPL 2
Build system: r
Synopsis: Fast and Easy Data Cleaning
Description:

Data cleaning functions for classes logical, factor, numeric, character, currency and Date to make data cleaning fast and easy. Relying on very few dependencies, it provides smart guessing, but with user options to override anything if needed.

r-cepreader 1.3-0
Propagated dependencies: 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/
Licenses: FSDG-compatible
Build system: r
Synopsis: Read 'CEP' and Legacy 'CANOCO' Files
Description:

Read Condensed Cornell Ecology Program ('CEP') and legacy CANOCO files into R data frames.

r-clr 0.1.2
Propagated dependencies: r-magrittr@2.0.4 r-lubridate@1.9.4 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=clr
Licenses: LGPL 2.0+
Build system: r
Synopsis: Curve Linear Regression via Dimension Reduction
Description:

This package provides a new methodology for linear regression with both curve response and curve regressors, which is described in Cho, Goude, Brossat and Yao (2013) <doi:10.1080/01621459.2012.722900> and (2015) <doi:10.1007/978-3-319-18732-7_3>. The key idea behind this methodology is dimension reduction based on a singular value decomposition in a Hilbert space, which reduces the curve regression problem to several scalar linear regression problems.

r-colombiapi 0.3.1
Propagated dependencies: r-tibble@3.3.0 r-scales@1.4.0 r-jsonlite@2.0.0 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://github.com/lightbluetitan/colombiapi
Licenses: GPL 3
Build system: r
Synopsis: Access Colombian Data via APIs and Curated Datasets
Description:

This package provides a comprehensive interface to access diverse public data about Colombia through multiple APIs and curated datasets. The package integrates four different APIs: API-Colombia for Colombian-specific data including geography, culture, tourism, and government information; World Bank API for economic and demographic indicators; Nager.Date for public holidays; and REST Countries API for general country information. The package enables users to explore various aspects of Colombia such as geographic locations, cultural attractions, economic indicators, demographic data, and public holidays. Additionally, ColombiAPI includes curated datasets covering Bogota air stations, business and holiday dates, public schools, Colombian coffee exports, cannabis licenses, Medellin rainfall, malls in Bogota, as well as datasets on indigenous languages, student admissions and school statistics, forest liana mortality, municipal and regional data, connectivity and digital infrastructure, program graduates, vehicle counts, international visitors, and GDP projections. These datasets provide users with a rich and multifaceted view of Colombian social, economic, environmental, and technological information, making ColombiAPI a comprehensive tool for exploring Colombia's diverse data landscape. For more information on the APIs, see: API-Colombia <https://api-colombia.com/>, Nager.Date <https://date.nager.at/Api>, World Bank API <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392>, and REST Countries API <https://restcountries.com/>.

r-censorcopula 2.0
Propagated dependencies: 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=censorcopula
Licenses: GPL 2+
Build system: r
Synopsis: Estimate Parameter of Bivariate Copula
Description:

Implement an interval censor method to break ties when using data with ties to fitting a bivariate copula.

r-criticality 0.9.3
Propagated dependencies: r-scales@1.4.0 r-reticulate@1.44.1 r-magrittr@2.0.4 r-keras@2.16.1 r-ggplot2@4.0.1 r-fitdistrplus@1.2-4 r-evd@2.3-7.1 r-dplyr@1.1.4 r-caret@7.0-1 r-bnlearn@5.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=criticality
Licenses: Expat
Build system: r
Synopsis: Modeling Fissile Material Operations in Nuclear Facilities
Description:

This package provides a collection of functions for modeling fissile material operations in nuclear facilities, based on Zywiec et al (2021) <doi:10.1016/j.ress.2020.107322>.

r-contaminatedmixt 1.3.8
Propagated dependencies: r-mvtnorm@1.3-3 r-mnormt@2.1.1 r-mixture@2.2.0 r-mclust@6.1.2 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=ContaminatedMixt
Licenses: GPL 2
Build system: r
Synopsis: Clustering and Classification with the Contaminated Normal
Description:

Fits mixtures of multivariate contaminated normal distributions (with eigen-decomposed scale matrices) via the expectation conditional- maximization algorithm under a clustering or classification paradigm Methods are described in Antonio Punzo, Angelo Mazza, and Paul D McNicholas (2018) <doi:10.18637/jss.v085.i10>.

r-citsr 0.1.3
Propagated dependencies: r-nlme@3.1-168 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-clubsandwich@0.6.1 r-aiccmodavg@2.3-4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=citsr
Licenses: Expat
Build system: r
Synopsis: Controlled Interrupted Time Series Analysis and Visualization
Description:

This package implements controlled interrupted time series (CITS) analysis for evaluating interventions in comparative time-series data. The package provides tools for preparing panel time-series datasets, fitting models using generalized least squares (GLS) with optional autoregressiveâ moving-average (ARMA) error structures, and computing fitted values and robust standard errors using cluster-robust variance estimators (CR2). Visualization functions enable clear presentation of estimated effects and counterfactual trajectories following interventions. Background on methods for causal inference in interrupted time series can be found in Linden and Adams (2011) <doi:10.1111/j.1365-2753.2010.01504.x> and Lopez Bernal, Cummins, and Gasparrini (2018) <doi:10.1093/ije/dyy135>.

r-carms 1.0.1
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-diagram@1.6.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: http://www.openreliability.org
Licenses: GPL 3+
Build system: r
Synopsis: Continuous Time Markov Rate Modeling for Reliability Analysis
Description:

Emulation of an application originally created by Paul Pukite. Computer Aided Rate Modeling and Simulation. Jan Pukite and Paul Pukite, (1998, ISBN 978-0-7803-3482), William J. Stewart, (1994, ISBN: 0-691-03699-3).

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Total results: 69112